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…
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Best MLOps & Model Deployment AI Frameworks
13 toolsDiscover the best AI Frameworks — from deep learning libraries and natural language processing tools to machine learning platforms, model deployment frameworks, and data pipeline orchestration solutions, this is where developers and data scientists explore software that enhances their workflow: building neural networks, processing text data, deploying machine learning models, and managing data workflows. Browse 13 AI Frameworks spanning Machine Learning Platforms, AI Agent Builders, Machine Learning & Data Science, Natural Language Processing Tools and Computer Vision Tools and more.
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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…
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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…
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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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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…
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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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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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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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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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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…
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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…
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