🧠 AI & Machine Learning

End-to-end open source machine learning platform. Build and deploy ML models at scale.

Open source machine learning framework. Dynamic computation graphs and Pythonic deep learning.

Machine learning in Python. Simple, efficient tools for predictive data analysis.

Deep learning API. Simple, flexible, and powerful neural network library for Python.

State-of-the-art NLP and ML models. Thousands of pretrained models for text, vision, and audio.

Framework for building LLM-powered applications. Chains, agents, and retrieval-augmented generation.

Open source computer vision and image processing library. Real-time vision for any platform.

Scalable gradient boosting library. Fast, accurate, and battle-tested for tabular data.

Fast gradient boosting framework. Lightweight, distributed, and high-performance tree-based learning.

Open neural network exchange format. Interoperable AI models across frameworks and hardware.

High-performance numerical computing. Composable transformations for autograd, JIT, and vectorization.

Industrial-strength NLP library. Fast, accurate, and production-ready text processing.

Natural Language Toolkit. Comprehensive platform for building NLP programs in Python.

Multilingual sentence, paragraph, and image embeddings. Fast semantic search and similarity.

Data framework for LLM applications. Connect custom data sources to large language models.

NLP framework for building search, question answering, and conversational AI pipelines.

Object detection and segmentation framework. Next-generation platform by Meta AI Research.

ML lifecycle platform. Experiment tracking, model registry, deployment, and reproducibility.

Machine learning toolkit for Kubernetes. End-to-end ML workflows on cloud-native infrastructure.

Data Version Control. Git for data and ML models. Track experiments and build pipelines.

Run large language models locally. Simple CLI to download, run, and manage LLMs on your machine.