AutoNode alternatives for AI agents.

Pretrain, finetune ANY AI model of ANY size on 1 or 10,000+ GPUs with zero code changes.

🐍 Geometric Computer Vision Library for Spatial AI

Accessible large language models via k-bit quantization for PyTorch.

Stanford NLP Python library for tokenization, sentence segmentation, NER, and parsing of many human languages

Welcome to the Llama Cookbook! This is your go to guide for Building with Llama: Getting started with Inference, Fine-Tuning, RAG. We also show you how to solve end to end problems using Llama model family and using them on various provider services

🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.

Deep Learning for humans

💫 Industrial-strength Natural Language Processing (NLP) in Python

🤗 The largest hub of ready-to-use datasets for AI models with fast, easy-to-use and efficient data manipulation tools

Tensors and Dynamic neural networks in Python with strong GPU acceleration

Open standard for machine learning interoperability

Datasets, Transforms and Models specific to Computer Vision

Machine Learning Systems

Machine Learning Engineering Open Book

PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.

NLTK Source