AI Frameworks
MLflow provides comprehensive documentation for both traditional machine learning workflows and modern LLM/agent development. It covers experiment tracking, model registry,…
Best MLOps & Model Deployment AI Frameworks
19 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 19 AI Frameworks spanning Machine Learning Platforms, AI Agent Builders, Natural Language Processing Tools, Computer Vision Tools and Vector Databases & Retrieval and more.
19 tools
AI Frameworks
Kubeflow documentation provides comprehensive resources for understanding and utilizing the Kubeflow platform. It covers getting started guides, details on subprojects, community…
AI Frameworks
Comet's ML platform empowers data science and machine learning teams to track, compare, explain, and optimize models throughout the entire ML lifecycle. It streamlines experiment…
AI Frameworks
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…
AI Frameworks
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…
AI Frameworks
Weights & Biases offers a platform for developing AI models and shipping LLM applications. It provides experiment tracking, evaluation, and observability tools, alongside managed…
AI Frameworks
SHAP (SHapley Additive exPlanations) is a game theoretic approach to explain machine learning model outputs. It connects optimal credit allocation with local explanations using…
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 Frameworks
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…
AI Frameworks
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…
AI Frameworks
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…
AI Frameworks
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…
AI Frameworks
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…
AI Frameworks
TensorFlow Extended (TFX) is a Google-production-scale machine learning platform. It provides a configuration framework and shared libraries to integrate common components for…
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…
AI Frameworks
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…
AI Frameworks
Cortex provides production infrastructure for machine learning at scale, enabling the deployment, management, and scaling of ML models. It supports serverless, real-time,…
AI Frameworks
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…
AI Frameworks
BentoML is a unified inference platform designed for deploying and scaling AI systems. It allows developers to serve any model on any cloud with production-grade reliability,…
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