Instantly calculate LLM API costs and count tokens for models like GPT-5, Claude, and Gemini. Compare pricing across over 300 models to optimize your AI budget. Get practical tips…
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Best AI Tools for Machine Learning Engineers
984 toolsDiscover the best AI tools for Machine Learning Engineers — from AI agent observability and computer vision platforms to AI models, frameworks, and data management solutions, this is where machine learning professionals find resources that streamline complex tasks: developing robust AI models, deploying scalable applications, monitoring agent performance, and managing large datasets efficiently. Browse 984 AI Tools for Machine Learning Engineers across AI Apps, AI GitHub Repos, AI Platforms, AI Frameworks and AI Models and more.
984 tools
AI Apps
Offers instant comparison and calculation of API pricing for leading Large Language Models. Easily find cost-effective solutions from providers like OpenAI,…LLM Price Check offers instant comparison and calculation of API pricing for leading Large Language Models. Easily find cost-effective solutions from providers like OpenAI,…
Ranked #24 in AI Models & LLMsOffers serverless hosting for open-source LLMs, providing one API key for instant access to over 30,000 models. It simplifies deployment, ensuring reliability and…Featherless offers serverless hosting for open-source LLMs, providing one API key for instant access to over 30,000 models. It simplifies deployment, ensuring reliability and…
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Offers comprehensive learning in AI, Machine Learning, and Data Science. It features hands-on projects, interactive tutorials, quizzes, and real-world…AI Online Course offers comprehensive learning in AI, Machine Learning, and Data Science. It features hands-on projects, interactive tutorials, quizzes, and real-world…
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Connects companies with pre-vetted domain experts for AI training, data labeling, RLHF, model evaluation, and red teaming. It offers a platform for experts to earn…Sourcebae connects companies with pre-vetted domain experts for AI training, data labeling, RLHF, model evaluation, and red teaming. It offers a platform for experts to earn…
Ranked #129 in AI Recruiting ToolsAI Apps
Seven24 AI offers scalable RLHF and data labeling solutions for LLMs. It transforms mobile game ads into training data by replacing rewarded ads with short human labeling tasks.…
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Leverages AI and advanced computing for societal challenges. Their technologies include AI simulation, cryptography management for cybersecurity, and AI sensing. They…SandboxAQ leverages AI and advanced computing for societal challenges. Their technologies include AI simulation, cryptography management for cybersecurity, and AI sensing. They…
Ranked #30 in Energy & UtilitiesAI Apps
Offers lightning-fast, S3-compatible object storage specifically engineered for AI workloads. It reduces storage costs without compromising speed, enabling modern data…UltiHash offers lightning-fast, S3-compatible object storage specifically engineered for AI workloads. It reduces storage costs without compromising speed, enabling modern data…
See the Top 250 AI AppsData & AI Foundry for Agentic Systems, unifying infrastructure, analytics, workflows, and security to power automation and trusted enterprises. It enables…XenonStack is the Data & AI Foundry for Agentic Systems, unifying infrastructure, analytics, workflows, and security to power automation and trusted enterprises. It enables…
Ranked #61 for CTOsAI Apps
Offers on-demand NVIDIA cloud GPUs, from B300 to A30, with pre-installed CUDA and no bandwidth caps. Pay hourly with no contracts, and deploy AI workloads in…Massed Compute offers on-demand NVIDIA cloud GPUs, from B300 to A30, with pre-installed CUDA and no bandwidth caps. Pay hourly with no contracts, and deploy AI workloads in…
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Open-source backend that secures your LLM API keys, preventing leaks and controlling costs. It offers JWT authentication, per-user rate limits, and API resource…Backmesh is an open-source backend that secures your LLM API keys, preventing leaks and controlling costs. It offers JWT authentication, per-user rate limits, and API resource…
See the Top 250 AI AppsRust-powered graph embedding engine that deterministically computes graph embeddings using sparse Markov propagation. It offers a CPU-only, parameter-free, and fast…Cleora is a Rust-powered graph embedding engine that deterministically computes graph embeddings using sparse Markov propagation. It offers a CPU-only, parameter-free, and fast…
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Offers managed Grafana dashboards for ESP32, Arduino, and LoRaWAN devices, eliminating complex setup. Get your IoT data visualized in 60 seconds with a free tier and…Harbor Scale offers managed Grafana dashboards for ESP32, Arduino, and LoRaWAN devices, eliminating complex setup. Get your IoT data visualized in 60 seconds with a free tier and…
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Offers a distributed GPU cloud with over 60,000 daily active GPUs, starting at $0.02/hour. It provides low-cost, high-scale compute for AI/ML production models, inference,…Salad offers a distributed GPU cloud with over 60,000 daily active GPUs, starting at $0.02/hour. It provides low-cost, high-scale compute for AI/ML production models, inference,…
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Unified segmentation model for images and videos. It enables fast, precise object selection using clicks, boxes, or masks, offering…Meta Segment Anything Model 2 (SAM 2) is a unified segmentation model for images and videos. It enables fast, precise object selection using clicks, boxes, or masks, offering…
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Enables users to easily create state-of-the-art computer vision models tailored to specific use cases. By providing labeled images, the platform automates the…Custom Vision enables users to easily create state-of-the-art computer vision models tailored to specific use cases. By providing labeled images, the platform automates the…
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Open-source framework designed for building and managing real-life machine learning, AI, and data science projects. It simplifies development, versioning, and…Metaflow is an open-source framework designed for building and managing real-life machine learning, AI, and data science projects. It simplifies development, versioning, and…
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Fast, differentiable tensor library for JavaScript and TypeScript, built with Bun and Flashlight. It enables software engineers and researchers to create datasets,…Shumai is a fast, differentiable tensor library for JavaScript and TypeScript, built with Bun and Flashlight. It enables software engineers and researchers to create datasets,…
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Open-source library for PyTorch that provides tools for model interpretability. It supports multi-modal models across vision and text, allowing users to understand…Captum is an open-source library for PyTorch that provides tools for model interpretability. It supports multi-modal models across vision and text, allowing users to understand…
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Provides high-quality, multi-modal human interaction and conversational datasets for AI research. They capture and structure physical motion, physiological signals, gaze,…Grably provides high-quality, multi-modal human interaction and conversational datasets for AI research. They capture and structure physical motion, physiological signals, gaze,…
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Open-source API layer that transforms local AI models into production-ready AI applications. It provides essential building blocks for developing private AI…PrivateGPT.dev is an open-source API layer that transforms local AI models into production-ready AI applications. It provides essential building blocks for developing private AI…
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MLOps and LLMOps framework for deploying, managing, and scaling AI systems on Kubernetes. It enables standardized deployment of various model types across…Seldon Core is an MLOps and LLMOps framework for deploying, managing, and scaling AI systems on Kubernetes. It enables standardized deployment of various model types across…
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Central registry for AI/ML features within Unity Catalog. It offers built-in governance, lineage, point-in-time joins, and online serving for…Databricks Feature Store is a central registry for AI/ML features within Unity Catalog. It offers built-in governance, lineage, point-in-time joins, and online serving for…
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DETR is an end-to-end object detection and panoptic segmentation framework that integrates Transformers as a core component. It simplifies the architecture, directly predicts…
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Deep learning model available through the Keras 3 API. It is part of Keras Applications, offering pre-trained models for various computer vision tasks. Xception is…Xception is a deep learning model available through the Keras 3 API. It is part of Keras Applications, offering pre-trained models for various computer vision tasks. Xception is…
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TensorFlow implementation for face recognition and clustering, based on the FaceNet paper. It leverages deep learning models to generate unified embeddings for faces,…FaceNet is a TensorFlow implementation for face recognition and clustering, based on the FaceNet paper. It leverages deep learning models to generate unified embeddings for faces,…
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Transformer model designed for processing long documents. It builds upon RoBERTa, pretrained on extended sequences up to 4,096 tokens. This model employs…Longformer Base 4096 is a transformer model designed for processing long documents. It builds upon RoBERTa, pretrained on extended sequences up to 4,096 tokens. This model employs…
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2.7 billion-parameter language model from Microsoft Research. It demonstrates outstanding reasoning and language understanding, achieving state-of-the-art performance…Phi-2 is a 2.7 billion-parameter language model from Microsoft Research. It demonstrates outstanding reasoning and language understanding, achieving state-of-the-art performance…
See the Top 5 AI ModelsThis framework introduces a novel active learning method for enriching large 3D shape datasets with semantic region annotations. It efficiently combines manual annotation,…
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AI model for learning on point clouds, implementing Dynamic Graph CNN. It achieves state-of-the-art performance in tasks like classification and segmentation of 3D…DGCNN is an AI model for learning on point clouds, implementing Dynamic Graph CNN. It achieves state-of-the-art performance in tasks like classification and segmentation of 3D…
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MMAction2 is a foundational library for action recognition and video understanding tasks. It provides a comprehensive toolkit for developing and deploying state-of-the-art video…
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AI model that generates high-quality audio with long-term consistency. It treats audio generation as a language modeling task, mapping audio to discrete tokens. The…AudioLM is an AI model that generates high-quality audio with long-term consistency. It treats audio generation as a language modeling task, mapping audio to discrete tokens. The…
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Novel state space model architecture designed for efficient sequence modeling, particularly effective on information-dense data like language. It offers a…Mamba is a novel state space model architecture designed for efficient sequence modeling, particularly effective on information-dense data like language. It offers a…
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Powerful language model that offers efficient inference and flexible fine-tuning capabilities. It supports various applications, including desktop GUIs, web-based…RWKV is a powerful language model that offers efficient inference and flexible fine-tuning capabilities. It supports various applications, including desktop GUIs, web-based…
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State-of-the-art open language model family from Apple Machine Learning Research. It features a layer-wise scaling strategy for enhanced accuracy and provides a…OpenELM is a state-of-the-art open language model family from Apple Machine Learning Research. It features a layer-wise scaling strategy for enhanced accuracy and provides a…
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Caffe framework with SSD implementation for object detection. This repository provides a fast, open framework for deep learning, specifically tailored for the Single Shot MultiBox…
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AI model that enhances Vision Transformer (ViT) performance for dense prediction tasks like object detection and segmentation. It introduces image-specific…ViT-Adapter is an AI model that enhances Vision Transformer (ViT) performance for dense prediction tasks like object detection and segmentation. It introduces image-specific…
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This AI model offers a general-purpose solution for image-to-image translation tasks. It learns both the image mapping and the appropriate loss function, enabling versatile…
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PyTorch implementation of Dynamic Memory Generative Adversarial Networks for text-to-image synthesis. This repository provides code, pretrained models, and evaluation…DM-GAN is a PyTorch implementation of Dynamic Memory Generative Adversarial Networks for text-to-image synthesis. This repository provides code, pretrained models, and evaluation…
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GIT (Generative Image-to-text Transformer) is an AI model by Microsoft for vision and language tasks. It generates text descriptions from images and can perform visual question…
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General reinforcement learning algorithm that learns environment models to solve diverse control tasks. It excels across over 150 tasks with a single…Dreamer V3 is a general reinforcement learning algorithm that learns environment models to solve diverse control tasks. It excels across over 150 tasks with a single…
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This repository provides the author's official PyTorch implementation of Twin Delayed Deep Deterministic Policy Gradients (TD3). It is designed for continuous control tasks within…
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This repository provides an implementation of Principal Neighbourhood Aggregation (PNA) for Graph Neural Networks. It supports PyTorch, DGL, and PyTorch Geometric frameworks,…
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End-to-end text-to-speech model that enhances voice quality and training speed. It directly incorporates speech variation information like pitch and energy,…FastSpeech 2 is an end-to-end text-to-speech model that enhances voice quality and training speed. It directly incorporates speech variation information like pitch and energy,…
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Generative adversarial network for efficient and high-fidelity speech synthesis. It models periodic patterns in audio to enhance sample quality, achieving human-like…HiFi-GAN is a generative adversarial network for efficient and high-fidelity speech synthesis. It models periodic patterns in audio to enhance sample quality, achieving human-like…
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Open-source toolkit for end-to-end speech processing. It provides comprehensive recipes and tools for tasks like Automatic Speech Recognition (ASR), Text-to-Speech…ESPnet is an open-source toolkit for end-to-end speech processing. It provides comprehensive recipes and tools for tasks like Automatic Speech Recognition (ASR), Text-to-Speech…
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Integrated software package for support vector classification, regression, and distribution estimation. It offers a user-friendly interface, supports multi-class…LIBSVM is an integrated software package for support vector classification, regression, and distribution estimation. It offers a user-friendly interface, supports multi-class…
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The Vision Transformer (ViT) repository provides models and code for image recognition tasks. It includes implementations of the Vision Transformer and MLP-Mixer architectures,…
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Efficient Transformer-like encoder architecture that replaces self-attention with Fourier Transforms. Developed by Google Research, it offers a high-performance…FNet is an efficient Transformer-like encoder architecture that replaces self-attention with Fourier Transforms. Developed by Google Research, it offers a high-performance…
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AI model focused on improving pre-training by representing and predicting spans. It offers pre-trained base and large cased models, compatible with HuggingFace BERT…SpanBERT is an AI model focused on improving pre-training by representing and predicting spans. It offers pre-trained base and large cased models, compatible with HuggingFace BERT…
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Multimodal pre-training model for visually-rich document understanding and information extraction. It combines text, layout, and image information to achieve…LayoutLM is a multimodal pre-training model for visually-rich document understanding and information extraction. It combines text, layout, and image information to achieve…
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Pre-training method for sequence-to-sequence language generation tasks. It masks sentence fragments for the encoder to predict in the decoder, enhancing tasks like…MASS is a pre-training method for sequence-to-sequence language generation tasks. It masks sentence fragments for the encoder to predict in the decoder, enhancing tasks like…
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Research project by the MSRA NLC team focused on natural language generation. It provides official implementations of pretrained models, including those for future…ProphetNet is a research project by the MSRA NLC team focused on natural language generation. It provides official implementations of pretrained models, including those for future…
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Large-scale pre-trained language model developed by Microsoft Research. It surpasses T5 11B models in performance and achieves human-level results on SuperGLUE…DeBERTa is a large-scale pre-trained language model developed by Microsoft Research. It surpasses T5 11B models in performance and achieves human-level results on SuperGLUE…
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AI model that compresses hidden states to reduce computation cost. It allows for deeper or wider models with the same FLOPs and can recover token-level…Funnel-Transformer is an AI model that compresses hidden states to reduce computation cost. It allows for deeper or wider models with the same FLOPs and can recover token-level…
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Open-source AI model for pre-training language models, introducing a novel architecture with span-based dynamic convolution. This GitHub repository provides the…ConvBERT is an open-source AI model for pre-training language models, introducing a novel architecture with span-based dynamic convolution. This GitHub repository provides the…
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Scalable framework for learning continuous feature representations of nodes in graphs. It optimizes neighborhood preservation through biased random walks, enabling…node2vec is a scalable framework for learning continuous feature representations of nodes in graphs. It optimizes neighborhood preservation through biased random walks, enabling…
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Novel framework for link prediction that transforms the problem into a subgraph classification task. It extracts h-hop enclosing subgraphs and node information matrices,…SEAL is a novel framework for link prediction that transforms the problem into a subgraph classification task. It extracts h-hop enclosing subgraphs and node information matrices,…
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Flexible framework for training deep Graph Neural Networks (GNNs) on large graphs. It introduces a novel minibatch training method using graph sampling, offering…GraphSAINT is a flexible framework for training deep Graph Neural Networks (GNNs) on large graphs. It introduces a novel minibatch training method using graph sampling, offering…
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Self-improving AI agent for robotics that learns to perform diverse tasks across different robotic arms. It can adapt to new tasks with as few as 100 demonstrations…RoboCat is a self-improving AI agent for robotics that learns to perform diverse tasks across different robotic arms. It can adapt to new tasks with as few as 100 demonstrations…
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Transformer-based Generative Adversarial Network (GAN) designed for high-resolution image generation. It leverages Swin transformers and a novel double attention…StyleSwin is a transformer-based Generative Adversarial Network (GAN) designed for high-resolution image generation. It leverages Swin transformers and a novel double attention…
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This AI model introduces a multiresolution hash encoding for neural graphics primitives, enabling near-instant training of neural networks on a single GPU. It significantly…
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Reframes reinforcement learning as a sequence modeling problem, leveraging Transformer architectures like GPT-x and BERT. It generates optimal actions by…Decision Transformer reframes reinforcement learning as a sequence modeling problem, leveraging Transformer architectures like GPT-x and BERT. It generates optimal actions by…
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PyTorch implementation of the TabNet paper, offering an attentive and interpretable approach to tabular data learning. It supports classification, regression, and multi-task…
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Python library for deep learning on tabular data. It implements ensembles of oblivious, differentiable decision trees, offering a…Neural Oblivious Decision Ensembles (NODE) is a Python library for deep learning on tabular data. It implements ensembles of oblivious, differentiable decision trees, offering a…
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This GitHub repository provides the official implementation for the NeurIPS 2021 paper 'Revisiting Deep Learning Models for Tabular Data.' It explores deep learning architectures…
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This repository provides the official PyTorch implementation of the SAINT model, designed for improved neural networks on tabular data. It leverages row attention and contrastive…
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Region-based object detection framework that utilizes fully convolutional networks for accurate and efficient image analysis. It shares computation across the entire…R-FCN is a region-based object detection framework that utilizes fully convolutional networks for accurate and efficient image analysis. It shares computation across the entire…
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Deep learning model architecture that adaptively recalibrates channel-wise feature responses. It enhances performance by explicitly…Squeeze-and-Excitation Networks (SENet) is a deep learning model architecture that adaptively recalibrates channel-wise feature responses. It enhances performance by explicitly…
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This repository provides an implementation of ConvMixer, a convolutional neural network architecture for image recognition tasks. It is based on the paper "Patches Are All You…
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Powerful and simple ConvNet architecture that achieves high accuracy on ImageNet. It utilizes a VGG-style design with re-parameterization techniques, allowing for…RepVGG is a powerful and simple ConvNet architecture that achieves high accuracy on ImageNet. It utilizes a VGG-style design with re-parameterization techniques, allowing for…
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PyTorch implementation of Vision Graph Neural Networks developed by Huawei Noah's Ark Lab. It offers efficient AI backbones for image processing tasks,…Vision GNN (ViG) is a PyTorch implementation of Vision Graph Neural Networks developed by Huawei Noah's Ark Lab. It offers efficient AI backbones for image processing tasks,…
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Panoptic FPN unifies instance and semantic segmentation into a single network architecture. It enhances Mask R-CNN with a semantic segmentation branch using a shared Feature…
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Provides Sent2Vec encoder and training code based on the research paper "Skip-Thought Vectors." It enables the generation of dense vector representations for…Skip-Thought Vectors provides Sent2Vec encoder and training code based on the research paper "Skip-Thought Vectors." It enables the generation of dense vector representations for…
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The BAAI Models platform offers a diverse collection of AI models for natural language processing, multimodal understanding, and protein analysis. Explore and download models for…
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AI model that augments transformer architectures with retrieval capabilities. It accesses a vast database of text passages, including…RETRO (Retrieval Enhanced Transformers) is an AI model that augments transformer architectures with retrieval capabilities. It accesses a vast database of text passages, including…
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This repository provides a TensorFlow implementation of the BEGAN (Boundary Equilibrium Generative Adversarial Networks) model. It allows users to train and test generative models…
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Or Loss-Sensitive Generative Adversarial Networks, is a project focused on advancing GANs. It introduces a novel approach to loss functions, aiming for improved generation…LS-GAN, or Loss-Sensitive Generative Adversarial Networks, is a project focused on advancing GANs. It introduces a novel approach to loss functions, aiming for improved generation…
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This repository provides a PyTorch implementation of MADE (Masked Autoencoder Density Estimation). It enables turning auto-encoders into autoregressive density models by masking…
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AI model for generating high-resolution images from large, diverse datasets. It scales StyleGAN architecture for improved image synthesis quality and diversity.…StyleGAN-XL is an AI model for generating high-resolution images from large, diverse datasets. It scales StyleGAN architecture for improved image synthesis quality and diversity.…
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StyleGAN3 is a generative adversarial network that eliminates "texture sticking" by overhauling signal processing. It achieves translation and rotation equivariance, enabling more…
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AI model for efficient, non-autoregressive audio generation. It produces high-quality audio two orders of magnitude faster than previous methods, maintaining…SoundStorm is an AI model for efficient, non-autoregressive audio generation. It produces high-quality audio two orders of magnitude faster than previous methods, maintaining…
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AI model that achieved Grandmaster level in StarCraft II, a complex real-time strategy game. It utilizes multi-agent reinforcement learning and imitation learning,…AlphaStar is an AI model that achieved Grandmaster level in StarCraft II, a complex real-time strategy game. It utilizes multi-agent reinforcement learning and imitation learning,…
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PyTorch implementation of Composition-Based Multi-Relational Graph Convolutional Networks. It enables advanced graph representation learning for tasks like knowledge…CompGCN is a PyTorch implementation of Composition-Based Multi-Relational Graph Convolutional Networks. It enables advanced graph representation learning for tasks like knowledge…
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This GitHub repository provides TensorFlow and PyTorch implementations for the PPNP and APPNP models, introduced in the "Predict then Propagate: Graph Neural Networks meet…
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This repository provides the official implementation for the "Simplifying Graph Convolutional Networks" paper. It offers a streamlined Graph Convolutional Network (GCN) model that…
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Open-source project providing Python code for Graph Neural Networks (GNNs) that treat graph learning as a continuous diffusion process. It implements GRAND…Graph Neural PDEs is an open-source project providing Python code for Graph Neural Networks (GNNs) that treat graph learning as a continuous diffusion process. It implements GRAND…
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This blog post introduces a new PyTorch Hopfield layer based on modern Hopfield Networks. It generalizes classical Hopfield Networks to continuous states and patterns, offering…
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Comprehensive framework for reinforcement learning research in games. It offers a collection of environments and algorithms for developing and testing general AI…OpenSpiel is a comprehensive framework for reinforcement learning research in games. It offers a collection of environments and algorithms for developing and testing general AI…
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Offer a generic, efficient framework for deep learning on dynamic graphs. This Python-based library utilizes novel memory modules and graph-based…Temporal Graph Networks (TGNs) offer a generic, efficient framework for deep learning on dynamic graphs. This Python-based library utilizes novel memory modules and graph-based…
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Open-source deep learning toolkit for factorization models, specifically releasing the source code for the eXtreme Deep Factorization Machine (xDeepFM) model. It…xDeepFM is an open-source deep learning toolkit for factorization models, specifically releasing the source code for the eXtreme Deep Factorization Machine (xDeepFM) model. It…
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This GitHub repository provides a TensorFlow implementation of the Attentional Factorization Machine (AFM) model. It allows users to train and evaluate AFM for tasks like…
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Simplified Graph Convolutional Network designed for recommendation systems. It focuses on the essential neighborhood aggregation component for collaborative…LightGCN is a simplified Graph Convolutional Network designed for recommendation systems. It focuses on the essential neighborhood aggregation component for collaborative…
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Recommendation framework leveraging graph neural networks. It explicitly encodes collaborative signals through high-order…Neural Graph Collaborative Filtering (NGCF) is a recommendation framework leveraging graph neural networks. It explicitly encodes collaborative signals through high-order…
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Provides comprehensive resources for developers using this optimized tensor library for deep learning. It covers stable and unstable features, user guides,…PyTorch documentation provides comprehensive resources for developers using this optimized tensor library for deep learning. It covers stable and unstable features, user guides,…
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Python deep learning framework. It provides a high-level API for building and training neural networks. Keras focuses on enabling fast experimentation and…Keras is a Python deep learning framework. It provides a high-level API for building and training neural networks. Keras focuses on enabling fast experimentation and…
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Deep learning framework developed by Berkeley AI Research, prioritizing expression, speed, and modularity. It allows users to define models and optimizations through…Caffe is a deep learning framework developed by Berkeley AI Research, prioritizing expression, speed, and modularity. It allows users to define models and optimizations through…
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Free and open-source software library for neural networks. It provides a comprehensive set of tools for developing and implementing artificial intelligence models.…OpenNN is a free and open-source software library for neural networks. It provides a comprehensive set of tools for developing and implementing artificial intelligence models.…
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Open-source Python library offering popular model compression techniques for PyTorch, TensorFlow, and JAX. It supports advanced quantization for…Intel® Neural Compressor is an open-source Python library offering popular model compression techniques for PyTorch, TensorFlow, and JAX. It supports advanced quantization for…
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Provides comprehensive documentation for the OpenCV library's various modules. It serves as a central resource for developers to understand and utilize the…OpenCV Modules provides comprehensive documentation for the OpenCV library's various modules. It serves as a central resource for developers to understand and utilize the…
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Open-source toolkit for deploying high-performance AI solutions across diverse hardware. It enables developers to convert, optimize, and run inference for both…OpenVINO is an open-source toolkit for deploying high-performance AI solutions across diverse hardware. It enables developers to convert, optimize, and run inference for both…
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Provides a standard API for reinforcement learning and a diverse set of reference environments. It is a maintained fork of OpenAI's Gym library, offering a simple,…Gymnasium provides a standard API for reinforcement learning and a diverse set of reference environments. It is a maintained fork of OpenAI's Gym library, offering a simple,…
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Offers reliable reinforcement learning algorithm implementations in PyTorch. It provides a unified structure, PEP 8 compliance, extensive documentation,…Stable-Baselines3 (SB3) offers reliable reinforcement learning algorithm implementations in PyTorch. It provides a unified structure, PEP 8 compliance, extensive documentation,…
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Library for reinforcement learning within TensorFlow. It simplifies the design, implementation, and testing of new reinforcement learning algorithms by…TensorFlow Agents is a library for reinforcement learning within TensorFlow. It simplifies the design, implementation, and testing of new reinforcement learning algorithms by…
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IBM's pioneering enterprise AI brand, known for beating human champions on Jeopardy! in 2011. IBM's site now presents Watson as the technology foundation for its…IBM Watson is IBM's pioneering enterprise AI brand, known for beating human champions on Jeopardy! in 2011. IBM's site now presents Watson as the technology foundation for its…
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Game theoretic approach to explain machine learning model outputs. It connects optimal credit allocation with local explanations using…SHAP (SHapley Additive exPlanations) is a game theoretic approach to explain machine learning model outputs. It connects optimal credit allocation with local explanations using…
See the Top 50 AI FrameworksLIME is a Python package for generating local, interpretable, and model-agnostic explanations of machine learning model predictions. It helps understand why a model makes a…
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Open-source toolkit designed to help researchers and developers detect, understand, and mitigate unwanted bias in machine learning models. It…AI Fairness 360 (AIF360) is an open-source toolkit designed to help researchers and developers detect, understand, and mitigate unwanted bias in machine learning models. It…
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Provides documentation for its 1.23.0 version. It covers core concepts, Python integration, API references, versioning, data structures, and…ONNX (Open Neural Network Exchange) provides documentation for its 1.23.0 version. It covers core concepts, Python integration, API references, versioning, data structures, and…
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Provides a comprehensive set of APIs for building, training, and inferring AI models. It offers interfaces for framework foundations, operations, neural network layers,…MindSpore provides a comprehensive set of APIs for building, training, and inferring AI models. It offers interfaces for framework foundations, operations, neural network layers,…
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Vowpal Wabbit documentation provides comprehensive resources for its machine learning framework. It includes generated documentation for Python bindings and C++ implementations,…
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High-performance C/C++ library for large-scale linear classification and regression. It efficiently handles datasets with millions of instances and features,…LIBLINEAR is a high-performance C/C++ library for large-scale linear classification and regression. It efficiently handles datasets with millions of instances and features,…
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Intel Gaudi documentation provides comprehensive resources for Intel Gaudi AI accelerators, including Gaudi 2 and Gaudi 3. It offers guidance on model migration, code samples,…
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Apple framework that allows developers to integrate machine learning models directly into their apps. It provides a unified representation for models, enabling…Core ML is an Apple framework that allows developers to integrate machine learning models directly into their apps. It provides a unified representation for models, enabling…
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Free mobile SDK for Android and iOS that integrates Google's machine learning expertise into apps. It offers easy-to-use Vision and Natural Language APIs for…ML Kit is a free mobile SDK for Android and iOS that integrates Google's machine learning expertise into apps. It offers easy-to-use Vision and Natural Language APIs for…
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Google-production-scale machine learning platform. It provides a configuration framework and shared libraries to integrate common components for…TensorFlow Extended (TFX) is a Google-production-scale machine learning platform. It provides a configuration framework and shared libraries to integrate common components for…
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BigDL-LLM is an open-source library for running large language models (LLMs) on Intel XPU hardware, from laptops to cloud GPUs. It supports INT4/FP4/INT8/FP8 quantization for low…
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Offers scalable machine learning in Python, integrating with libraries like Scikit-Learn and XGBoost. It addresses challenges of large models and datasets exceeding RAM by…Dask-ML offers scalable machine learning in Python, integrating with libraries like Scikit-Learn and XGBoost. It addresses challenges of large models and datasets exceeding RAM by…
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Open-source AutoML system built on Keras, designed to make machine learning accessible. It automates the process of finding the best neural network architecture…AutoKeras is an open-source AutoML system built on Keras, designed to make machine learning accessible. It automates the process of finding the best neural network architecture…
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Automated machine learning toolkit that acts as a drop-in replacement for scikit-learn estimators. It automates algorithm selection and hyperparameter tuning,…auto-sklearn is an automated machine learning toolkit that acts as a drop-in replacement for scikit-learn estimators. It automates algorithm selection and hyperparameter tuning,…
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Python-based Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming. It acts as a data science assistant, automatically…TPOT is a Python-based Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming. It acts as a data science assistant, automatically…
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Open-source, low-code deep learning framework. It enables users to build, fine-tune, and deploy AI models for various data types, including text, images, and LLMs,…Ludwig is an open-source, low-code deep learning framework. It enables users to build, fine-tune, and deploy AI models for various data types, including text, images, and LLMs,…
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Open-source computer vision toolkit offering state-of-the-art deep learning algorithms. It provides a vast model zoo with over 170 pre-trained models, flexible APIs,…GluonCV is an open-source computer vision toolkit offering state-of-the-art deep learning algorithms. It provides a vast model zoo with over 170 pre-trained models, flexible APIs,…
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AI framework designed for deep learning model deployment and management. It simplifies the process of serving machine learning models, enabling developers to…DeepDetect is an AI framework designed for deep learning model deployment and management. It simplifies the process of serving machine learning models, enabling developers to…
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Open-source neural network framework written in Java. It simplifies the development and implementation of artificial neural networks for various applications. The…Neuroph is an open-source neural network framework written in Java. It simplifies the development and implementation of artificial neural networks for various applications. The…
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Kubernetes-native framework for deploying and managing ML and LLM systems at scale. It offers a flexible, modular architecture for on-premise, hybrid, and…Seldon Core 2 is a Kubernetes-native framework for deploying and managing ML and LLM systems at scale. It offers a flexible, modular architecture for on-premise, hybrid, and…
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Autonomous data labeling agent framework that enables AI engineers, researchers, and data scientists to build and deploy intelligent agents. These agents learn…Adala is an autonomous data labeling agent framework that enables AI engineers, researchers, and data scientists to build and deploy intelligent agents. These agents learn…
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Visual instruction tuning model that combines large language and vision capabilities. It aims to achieve GPT-4V level performance, enabling multimodal understanding and…LLaVA is a visual instruction tuning model that combines large language and vision capabilities. It aims to achieve GPT-4V level performance, enabling multimodal understanding and…
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Multilingual text-to-image latent diffusion model. It offers advanced image generation capabilities, including text-to-image, image-to-image, and inpainting. The…Kandinsky 2 is a multilingual text-to-image latent diffusion model. It offers advanced image generation capabilities, including text-to-image, image-to-image, and inpainting. The…
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PyTorch implementation for self-supervised learning from video. It utilizes a joint-embedding predictive architecture to learn visual representations without human…V-JEPA is a PyTorch implementation for self-supervised learning from video. It utilizes a joint-embedding predictive architecture to learn visual representations without human…
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Open-source language model series developed by Stability AI. This GitHub repository hosts ongoing development, providing access to various checkpoints like…StableLM is an open-source language model series developed by Stability AI. This GitHub repository hosts ongoing development, providing access to various checkpoints like…
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Open-sourced code for MiniGPT-4 and MiniGPT-v2, advanced large language models enhancing vision-language understanding. These models enable multi-task learning for vision-language…
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Open-source project focused on live-stream development for Reinforcement Learning (RL) tuning of Large Language Model (LLM) agents. It aims to explore new…OpenManus-RL is an open-source project focused on live-stream development for Reinforcement Learning (RL) tuning of Large Language Model (LLM) agents. It aims to explore new…
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PyTorch implementation of the text-to-3D model DreamFusion, leveraging Stable Diffusion for 3D content generation. It supports text-to-3D, image-to-3D, and…Stable-DreamFusion is a PyTorch implementation of the text-to-3D model DreamFusion, leveraging Stable Diffusion for 3D content generation. It supports text-to-3D, image-to-3D, and…
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Comprehensive resource for developers looking to enhance their skills in machine learning. Founded by Jason Brownlee, Ph.D., it offers tutorials,…Machine Learning Mastery is a comprehensive resource for developers looking to enhance their skills in machine learning. Founded by Jason Brownlee, Ph.D., it offers tutorials,…
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Offers a sovereign, high-performance AI cloud infrastructure designed for Southeast Asia. It ensures data residency within Vietnam and Thailand, providing secure,…GreenNode offers a sovereign, high-performance AI cloud infrastructure designed for Southeast Asia. It ensures data residency within Vietnam and Thailand, providing secure,…
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Offers a private AI cloud for training and inference, supporting various accelerators like NVIDIA, AMD, and Qualcomm. It features high-bandwidth networking, no egress…Cirrascale offers a private AI cloud for training and inference, supporting various accelerators like NVIDIA, AMD, and Qualcomm. It features high-bandwidth networking, no egress…
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Chrome extension designed to help users easily contribute their chat conversations with large language models to an open-source dataset. It automates the collection…ShareLM is a Chrome extension designed to help users easily contribute their chat conversations with large language models to an open-source dataset. It automates the collection…
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Offers serverless GPU inference for AI models, enabling fast deployment and execution of machine learning workloads. It provides quick cold starts, supports various AI models…GPUX offers serverless GPU inference for AI models, enabling fast deployment and execution of machine learning workloads. It provides quick cold starts, supports various AI models…
See the Top 250 AI AppsOperating platform for building, deploying, and monitoring on-premise Generative AI applications. It streamlines development with rapid prototyping, testing,…Dynamiq is an operating platform for building, deploying, and monitoring on-premise Generative AI applications. It streamlines development with rapid prototyping, testing,…
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Access over 600 AI models through a single API, including GPT-5.5, Claude Opus 4.7, and Gemini 3.5. This platform offers a cost-effective solution, potentially saving up to 80%…
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Open-source platform for orchestrating complex AI and ML workflows. It enables developers to build dynamic, resilient, and infra-aware pipelines using pure Python,…Flyte is an open-source platform for orchestrating complex AI and ML workflows. It enables developers to build dynamic, resilient, and infra-aware pipelines using pure Python,…
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Offers a unified API to access over 100 leading AI models for video, image, audio, and LLM generation. It provides stable performance, transparent pricing, and significant…Kie.ai offers a unified API to access over 100 leading AI models for video, image, audio, and LLM generation. It provides stable performance, transparent pricing, and significant…
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Offers dedicated AI infrastructure as a managed service. It provides the performance, control, and scalability of ownership without the capital investment and…Smartbird offers dedicated AI infrastructure as a managed service. It provides the performance, control, and scalability of ownership without the capital investment and…
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Fully managed vector database powered by open-source Milvus, offering billion-scale vector search, hybrid search, and AI data operations for building RAG and AI…Zilliz is a fully managed vector database powered by open-source Milvus, offering billion-scale vector search, hybrid search, and AI data operations for building RAG and AI…
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Generative AI inference platform that provides one unified API for image, video, audio, 3D, LLM, and vision models. It offers 400K+ models, managed infrastructure,…Runware is a generative AI inference platform that provides one unified API for image, video, audio, 3D, LLM, and vision models. It offers 400K+ models, managed infrastructure,…
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Unified API for open-source generative AI models, covering image generation, text-to-speech, transcription, and more. Requests run on a decentralized GPU cloud,…deAPI is a unified API for open-source generative AI models, covering image generation, text-to-speech, transcription, and more. Requests run on a decentralized GPU cloud,…
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Scalable browser infrastructure for AI agents from TestMu AI, providing real Chrome at scale with built-in stealth, session persistence, geo proxies, and full observability.
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An inference platform built for coding agents, offering fast frontier models plus specialized models for code search, applying edits, context compaction, and monitoring through…
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Unified AI API platform that provides access to over 500 AI models, including GPT-5 and Claude. It offers transparent pricing with no hidden fees, making it easy for…APIMart is a unified AI API platform that provides access to over 500 AI models, including GPT-5 and Claude. It offers transparent pricing with no hidden fees, making it easy for…
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