An open source python library for automated feature engineering

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

Deep Learning for humans

Fast and Accurate ML in 3 Lines of Code

A python library for user-friendly forecasting and anomaly detection on time series.

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

Open-source, low-code AutoML platform for Python. PyCaret 4.0: sklearn-native engine + React control plane.

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.

Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.

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

The world's simplest facial recognition api for Python and the command line

Tensors and Dynamic neural networks in Python with strong GPU acceleration

Datasets, Transforms and Models specific to Computer Vision

Machine Learning Engineering Open Book

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