AI Frameworks & Libraries AI Tools
Open-source machine learning frameworks, libraries, and developer tools for building, training, and optimizing AI models and applications.
Open-source machine learning frameworks, libraries, and developer tools for building, training, and optimizing AI models and applications.
End-to-end open-source ML platform by Google for training and deployment.
Hugging Face library for state-of-the-art NLP models
Essential machine learning library for Python with classical ML algorithms.
Platform and Python library for sharing ML models, datasets, and Spaces.
Library for state-of-the-art diffusion models for image, audio, and 3D generation.
Open-source machine learning framework by Meta with dynamic computation graphs.
IO-aware exact attention algorithm that is 2-4x faster and uses less memory.
High-level deep learning library making neural nets accessible with best practices.
Language and compiler for writing GPU kernels in Python by OpenAI.
Lightweight PyTorch wrapper for organized ML research and production code.
NVIDIA framework for building and training speech AI models including ASR, TTS, and speech LLMs.
Guidance language for controlling LLM generation with constraints, grammars, and JSON schemas.
Tiny autograd engine by Andrej Karpathy for educational purposes.
High-performance numerical computing library by Google with auto-differentiation.
NVIDIA framework for training multi-billion parameter transformer models.
Library for easily accessing and processing ML datasets.
Ultra-fast text tokenization library in Rust with Python bindings.
Fast and safe tensor serialization format by Hugging Face.
Tensor library for machine learning on commodity hardware
Unified system for large-scale distributed training and inference.
Gradient boosting library by Yandex with native categorical feature handling.
Cross-platform inference engine for ONNX models by Microsoft.
Library for running PyTorch training across distributed setups with minimal code changes.
Deep learning optimization library by Microsoft for distributed training.
Fast gradient boosting framework by Microsoft using histogram-based algorithms.
Open standard for representing machine learning models across frameworks.
JAX neural network library with PyTorch-like module system.
High-level deep learning API supporting JAX, TensorFlow, and PyTorch backends.
Neural network library for JAX by Google providing Linen module system.
Deep learning platform by Baidu with industrial-strength deployment tools.
Optimized gradient boosting library for structured/tabular data.
Minimalist deep learning framework in under 10,000 lines of code.