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