Best Machine Learning & Data Science AI Frameworks

Gradio

AI Frameworks

#6

Tool for building machine learning apps in Python. It allows users to create web interfaces for ML models quickly and easily, with no frontend experience required.…Gradio is a tool for building machine learning apps in Python. It allows users to create web interfaces for ML models quickly and easily, with no frontend experience required.…

NVIDIA NeMo

AI Frameworks

#7

AI framework designed for building and deploying conversational AI models. It supports various AI applications, including natural language processing and speech…NVIDIA NeMo is an AI framework designed for building and deploying conversational AI models. It supports various AI applications, including natural language processing and speech…

Comprehensive natural language processing toolkit written in Java. It provides linguistic annotations for text, supporting multiple languages and offering…Stanford CoreNLP is a comprehensive natural language processing toolkit written in Java. It provides linguistic annotations for text, supporting multiple languages and offering…

NVIDIA PhysicsNeMo (formerly Modulus)

AI Frameworks

#9

Open-source Python framework designed for building, training, and fine-tuning physics AI models at scale. It enables developers to create AI surrogate…NVIDIA PhysicsNeMo is an open-source Python framework designed for building, training, and fine-tuning physics AI models at scale. It enables developers to create AI surrogate…

MLflow - Open Source AI Platform for Agents, LLMs & Models

AI Frameworks

#11

Open-source AI platform designed for agents, LLMs, and ML models. It enables teams to debug, evaluate, monitor, and optimize AI applications efficiently, making it…MLflow is an open-source AI platform designed for agents, LLMs, and ML models. It enables teams to debug, evaluate, monitor, and optimize AI applications efficiently, making it…

Apache Mahout

AI Frameworks

#14

Open-source project aimed at building an environment for creating scalable, performant machine learning applications. It focuses on distributed linear algebra…Apache Mahout is an open-source project aimed at building an environment for creating scalable, performant machine learning applications. It focuses on distributed linear algebra…

Ultralytics YOLO

AI Frameworks

#16

Leading AI framework for real-time object detection and image segmentation. It offers advanced models like YOLO26, supporting tasks such as detection,…Ultralytics YOLO is a leading AI framework for real-time object detection and image segmentation. It offers advanced models like YOLO26, supporting tasks such as detection,…

fastai

AI Frameworks

#19

Deep learning library designed for practitioners and researchers. It offers high-level components for rapid development of state-of-the-art results and low-level…fastai is a deep learning library designed for practitioners and researchers. It offers high-level components for rapid development of state-of-the-art results and low-level…

Albumentations

AI Frameworks

#24

Fast image augmentation library for computer vision tasks, supporting images, masks, bounding boxes, keypoints, and 3D data. It offers reproducible pipelines…Albumentations is a fast image augmentation library for computer vision tasks, supporting images, masks, bounding boxes, keypoints, and 3D data. It offers reproducible pipelines…

Microsoft InterpretML

AI Frameworks

#31

Open-source toolkit designed to analyze and explain machine learning models. It provides state-of-the-art techniques for model interpretability,…Microsoft InterpretML is an open-source toolkit designed to analyze and explain machine learning models. It provides state-of-the-art techniques for model interpretability,…

Eclipse Deeplearning4j

AI Frameworks

#33

Open-source, distributed deep learning framework for the JVM. It offers a comprehensive ecosystem for building, training, and deploying neural…Eclipse Deeplearning4j is an open-source, distributed deep learning framework for the JVM. It offers a comprehensive ecosystem for building, training, and deploying neural…

Straightforward neural network framework designed for deep learning. It simplifies complex networks into three operation types, making it accessible for developers…tinygrad is a straightforward neural network framework designed for deep learning. It simplifies complex networks into three operation types, making it accessible for developers…

Deep Java Library (DJL)

AI Frameworks

#41

DJL is an engine-agnostic deep learning framework for Java. It simplifies the process of building, training, and deploying machine learning models using Java. DJL supports various…

Fairlearn

AI Frameworks

#43

Open-source toolkit designed to assess and improve the fairness of AI systems. It provides tools for identifying and mitigating unfairness in machine learning…Fairlearn is an open-source toolkit designed to assess and improve the fairness of AI systems. It provides tools for identifying and mitigating unfairness in machine learning…

Pure Java/C# machine learning framework supporting genetic programming, NEAT/HyperNEAT, and neural network technologies. Created in 2008, it provides a non-GPU…Encog is a pure Java/C# machine learning framework supporting genetic programming, NEAT/HyperNEAT, and neural network technologies. Created in 2008, it provides a non-GPU…

PyTorch

AI Frameworks

Open-source machine learning framework that accelerates the path from research prototyping to production deployment. It offers a robust ecosystem, cloud support, and…PyTorch is an open-source machine learning framework that accelerates the path from research prototyping to production deployment. It offers a robust ecosystem, cloud support, and…

Hugging Face Transformers

AI Frameworks

AI framework that centralizes model definitions for machine learning models across various domains, including text and vision. It simplifies the…Hugging Face Transformers is an AI framework that centralizes model definitions for machine learning models across various domains, including text and vision. It simplifies the…

TensorFlow

AI Frameworks

End-to-end open source machine learning platform designed for everyone. It provides a flexible ecosystem of tools, libraries, and community resources to create…TensorFlow is an end-to-end open source machine learning platform designed for everyone. It provides a flexible ecosystem of tools, libraries, and community resources to create…

JAX: High performance array computing

AI Frameworks

Python library designed for high-performance numerical computing and large-scale machine learning. It provides a familiar NumPy-style API and includes composable function…JAX is a Python library designed for high-performance numerical computing and large-scale machine learning. It provides a familiar NumPy-style API and includes composable function…

Gensim

AI Frameworks

Free, open-source Python library for topic modeling and semantic NLP. It enables training large-scale semantic models, representing text as semantic vectors, and…Gensim is a free, open-source Python library for topic modeling and semantic NLP. It enables training large-scale semantic models, representing text as semantic vectors, and…

Apache OpenNLP

AI Frameworks

Machine learning-based toolkit for natural language text processing. It provides tools for tasks like sentence detection, tokenization, and named entity…Apache OpenNLP is a machine learning-based toolkit for natural language text processing. It provides tools for tasks like sentence detection, tokenization, and named entity…

Genkit - Open-source AI framework by Google

AI Frameworks

Open-source AI framework developed by Google, designed for building AI-powered applications. It offers unified APIs for various AI models and includes developer tools…Genkit is an open-source AI framework developed by Google, designed for building AI-powered applications. It offers unified APIs for various AI models and includes developer tools…

Ray

AI Frameworks

Open-source framework designed to simplify the building and scaling of machine learning and Python applications. It provides high-level APIs and foundational primitives…Ray is an open-source framework designed to simplify the building and scaling of machine learning and Python applications. It provides high-level APIs and foundational primitives…

Open-source machine learning framework for Python, providing simple and efficient tools for predictive data analysis. It is accessible to everyone and reusable…scikit-learn is an open-source machine learning framework for Python, providing simple and efficient tools for predictive data analysis. It is accessible to everyone and reusable…

Semantic Kernel

AI Frameworks

Framework designed to facilitate the integration of AI capabilities into applications. It provides comprehensive documentation to help developers understand…Semantic Kernel is a framework designed to facilitate the integration of AI capabilities into applications. It provides comprehensive documentation to help developers understand…

PyTorch Lightning

AI Frameworks

All-in-one platform for AI development, enabling users to code, prototype, train, scale, and serve models directly from their browser with zero setup. It…PyTorch Lightning is an all-in-one platform for AI development, enabling users to code, prototype, train, scale, and serve models directly from their browser with zero setup. It…

spaCy

AI Frameworks

Free open-source library for Natural Language Processing in Python. It offers features like named entity recognition, part-of-speech tagging, and dependency parsing,…spaCy is a free open-source library for Natural Language Processing in Python. It offers features like named entity recognition, part-of-speech tagging, and dependency parsing,…

Cross-platform accelerated machine learning framework that optimizes training and inferencing. It supports various programming languages and platforms, making it…ONNX Runtime is a cross-platform accelerated machine learning framework that optimizes training and inferencing. It supports various programming languages and platforms, making it…

Deep learning optimization library designed to simplify distributed training. It enhances efficiency and effectiveness, enabling the training of large-scale models…DeepSpeed is a deep learning optimization library designed to simplify distributed training. It enhances efficiency and effectiveness, enabling the training of large-scale models…

SGLang

AI Frameworks

High-performance serving framework designed for large language and multimodal models. It provides extensive hardware support and a robust ecosystem for developers…SGLang is a high-performance serving framework designed for large language and multimodal models. It provides extensive hardware support and a robust ecosystem for developers…

LiteLLM

AI Frameworks

AI framework that provides a unified interface to access over 100 language models through a Proxy Server or Python SDK, enabling developers and teams to streamline…LiteLLM is an AI framework that provides a unified interface to access over 100 language models through a Proxy Server or Python SDK, enabling developers and teams to streamline…

TRL - Transformers Reinforcement Learning

AI Frameworks

Comprehensive library designed for training transformer language models using various reinforcement learning methods. It integrates seamlessly with Hugging Face's…TRL is a comprehensive library designed for training transformer language models using various reinforcement learning methods. It integrates seamlessly with Hugging Face's…

Sentence Transformers

AI Frameworks

Python module for state-of-the-art embedding and reranker models. It enables computing embeddings from text, images, audio, or video, calculating…Sentence Transformers is a Python module for state-of-the-art embedding and reranker models. It enables computing embeddings from text, images, audio, or video, calculating…

Instructor - Multi-Language Library for Structured LLM Outputs

AI Frameworks

Multi-language library designed for extracting structured, validated data from large language models (LLMs). It supports over 15 providers and offers features like…Instructor is a multi-language library designed for extracting structured, validated data from large language models (LLMs). It supports over 15 providers and offers features like…

BeeAI Framework

AI Frameworks

The BeeAI Framework enables developers to build reliable, production-ready multi-agent systems using a lightweight framework in Python or TypeScript, enhancing scalability and…

CRAB Benchmark

AI Frameworks

Comprehensive benchmark framework for evaluating multimodal language model agents. It offers cross-environment support, a graph evaluator, and automated task generation,…CRAB is a comprehensive benchmark framework for evaluating multimodal language model agents. It offers cross-environment support, a graph evaluator, and automated task generation,…

PromptMage

AI Frameworks

Python framework designed to simplify the development of complex, multi-step LLM applications. It offers built-in version control, a prompt playground for rapid…PromptMage is a Python framework designed to simplify the development of complex, multi-step LLM applications. It offers built-in version control, a prompt playground for rapid…

Captum Model Interpretability

AI Frameworks

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…

LIBSVM

AI Frameworks

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…

GluonTS

AI Frameworks

Python package for probabilistic time series modeling, leveraging deep learning models built on PyTorch and MXNet. It facilitates accurate forecasting by generating…GluonTS is a Python package for probabilistic time series modeling, leveraging deep learning models built on PyTorch and MXNet. It facilitates accurate forecasting by generating…

PyTorch Documentation

AI Frameworks

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,…

Keras Documentation

AI Frameworks

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…

Caffe Deep Learning Framework

AI Frameworks

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…

OpenNN

AI Frameworks

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.…

LightGBM

AI Frameworks

High-performance gradient boosting framework utilizing tree-based learning algorithms. It is engineered for distributed and efficient operation, offering faster…LightGBM is a high-performance gradient boosting framework utilizing tree-based learning algorithms. It is engineered for distributed and efficient operation, offering faster…

Stanza NLP Library

AI Frameworks

Python natural language processing library offering accurate and efficient tools for linguistic analysis across many human languages. It provides a neural network…Stanza is a Python natural language processing library offering accurate and efficient tools for linguistic analysis across many human languages. It provides a neural network…

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…

OpenVINO Toolkit

AI Frameworks

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…

Gymnasium Documentation

AI Frameworks

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,…

Stable-Baselines3

AI Frameworks

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,…

TensorFlow Agents

AI Frameworks

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…

SHAP AI Explanations

AI Frameworks

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…

Local Interpretable Model-Agnostic Explanations (LIME)

AI Frameworks

LIME 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…

AI Fairness 360

AI Frameworks

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…

ONNX Documentation

AI Frameworks

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…

MindSpore

AI Frameworks

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,…

Chainer Neural Network Framework

AI Frameworks

Flexible, intuitive deep learning framework supporting CUDA computation for GPU acceleration. It allows easy multi-GPU use and handles diverse network architectures.…Chainer is a flexible, intuitive deep learning framework supporting CUDA computation for GPU acceleration. It allows easy multi-GPU use and handles diverse network architectures.…

Vowpal Wabbit

AI Frameworks

Vowpal Wabbit documentation provides comprehensive resources for its machine learning framework. It includes generated documentation for Python bindings and C++ implementations,…

Java-based package for statistical natural language processing and machine learning applications to text. It offers tools for document classification, clustering,…Mallet is a Java-based package for statistical natural language processing and machine learning applications to text. It offers tools for document classification, clustering,…

LIBLINEAR

AI Frameworks

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,…

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,…

LiteRT

AI Frameworks

Google's high-performance on-device machine learning framework for deploying GenAI and ML models on edge platforms. It offers efficient conversion, runtime, and…LiteRT is Google's high-performance on-device machine learning framework for deploying GenAI and ML models on edge platforms. It offers efficient conversion, runtime, and…

Core ML

AI Frameworks

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…

ML Kit

AI Frameworks

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…

TensorFlow Extended (TFX)

AI Frameworks

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…

BigDL LLM

AI Frameworks

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…

Dask-ML

AI Frameworks

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…

AutoKeras

AI Frameworks

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…

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,…

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…

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,…

GluonCV Toolkit

AI Frameworks

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,…

DeepDetect

AI Frameworks

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…

Seldon Core 2

AI Frameworks

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…

OpenCV - Open Computer Vision Library

AI Frameworks

Open-source computer vision library that provides real-time optimized tools and hardware. It supports model execution for machine learning and artificial…OpenCV is an open-source computer vision library that provides real-time optimized tools and hardware. It supports model execution for machine learning and artificial…

Dynamo-Triton Open-Source Software

AI Frameworks

NVIDIA Dynamo-Triton enables deployment of AI models across various frameworks like TensorRT, PyTorch, and ONNX. It supports real-time, batched, and streaming workloads, making it…

Spark NLP

AI Frameworks

Open-source library designed for Natural Language Processing, leveraging the power of Large Language Models. It provides scalable NLP capabilities across multiple…Spark NLP is an open-source library designed for Natural Language Processing, leveraging the power of Large Language Models. It provides scalable NLP capabilities across multiple…

Python library designed for processing textual data. It offers a straightforward API for various natural language processing tasks, including sentiment analysis,…TextBlob is a Python library designed for processing textual data. It offers a straightforward API for various natural language processing tasks, including sentiment analysis,…

Library designed for efficient similarity search and clustering of dense vectors. It supports large datasets and offers various algorithms for vector search, including…Faiss is a library designed for efficient similarity search and clustering of dense vectors. It supports large datasets and offers various algorithms for vector search, including…

AI2-THOR Interactive Environments

AI Frameworks

Open-source platform providing interactive environments for embodied AI research. It features over 2000 unique objects and 120 rooms, supporting multiple agent…AI2-THOR is an open-source platform providing interactive environments for embodied AI research. It features over 2000 unique objects and 120 rooms, supporting multiple agent…

Dlib C++ Library

AI Frameworks

Modern C++ toolkit offering machine learning algorithms and tools for developing complex software. It is widely used in various domains like robotics and mobile devices,…Dlib is a modern C++ toolkit offering machine learning algorithms and tools for developing complex software. It is widely used in various domains like robotics and mobile devices,…

TorchVision

AI Frameworks

Library within the PyTorch project, providing popular datasets, model architectures, and image transformations for computer vision tasks. It supports stable,…TorchVision is a library within the PyTorch project, providing popular datasets, model architectures, and image transformations for computer vision tasks. It supports stable,…

fastText Library

AI Frameworks

Open-source library for efficient text classification and representation learning. It supports multiple languages and works on standard hardware, making it…fastText is an open-source library for efficient text classification and representation learning. It supports multiple languages and works on standard hardware, making it…

Kaldi ASR

AI Frameworks

Open-source toolkit designed for speech recognition research and development. It provides a comprehensive framework for building and deploying speech recognition…Kaldi ASR is an open-source toolkit designed for speech recognition research and development. It provides a comprehensive framework for building and deploying speech recognition…

MMCV

AI Frameworks

Foundational library for computer vision tasks, providing neural network operators and data transformations. It supports efficient deployment and serves as a base for…MMCV is a foundational library for computer vision tasks, providing neural network operators and data transformations. It supports efficient deployment and serves as a base for…

Optuna - Hyperparameter Optimization Framework

AI Frameworks

Open-source framework for automatic hyperparameter optimization, designed for machine learning. It offers an imperative, define-by-run API and supports…Optuna is an open-source framework for automatic hyperparameter optimization, designed for machine learning. It offers an imperative, define-by-run API and supports…

Apache Spark MLlib

AI Frameworks

Scalable machine learning library offering APIs in Java, Scala, Python, and R. It integrates seamlessly with Spark's APIs and supports various data…Apache Spark MLlib is a scalable machine learning library offering APIs in Java, Scala, Python, and R. It integrates seamlessly with Spark's APIs and supports various data…

XGBoost

AI Frameworks

Scalable and flexible gradient boosting framework that supports regression, classification, ranking, and user-defined objectives. It is portable across various…XGBoost is a scalable and flexible gradient boosting framework that supports regression, classification, ranking, and user-defined objectives. It is portable across various…

Holistic Evaluation of Language Models

AI Frameworks

HELM is a comprehensive benchmark for evaluating language models, focusing on transparency and reproducibility. It offers multi-metric measurements and broad coverage, with all…

NVIDIA TensorRT

AI Frameworks

High-performance deep learning inference SDK that optimizes inference, reduces latency, and delivers high throughput for AI applications across various…NVIDIA TensorRT is a high-performance deep learning inference SDK that optimizes inference, reduces latency, and delivers high throughput for AI applications across various…

LightlyTrain | Vision Model Pre-Training

AI Frameworks

Self-supervised learning framework that enables ML teams to train vision models on unlabeled data, reducing annotation costs and accelerating deployment for…LightlyTrain is a self-supervised learning framework that enables ML teams to train vision models on unlabeled data, reducing annotation costs and accelerating deployment for…