🤗 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.

User-friendly AI Interface (Supports Ollama, OpenAI API, ...)

Robust Speech Recognition via Large-Scale Weak Supervision

Models and examples built with TensorFlow

A curated list of awesome Machine Learning frameworks, libraries and software.

Clone a voice in 5 seconds to generate arbitrary speech in real-time

Unsloth Studio is a web UI for training and running open models like Qwen, DeepSeek, gpt-oss and Gemma locally.

Interact with your documents using the power of GPT, 100% privately, no data leaks

YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite

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

1 min voice data can also be used to train a good TTS model! (few shot voice cloning)

The simplest, fastest repository for training/finetuning medium-sized GPTs.

🐸💬 - a deep learning toolkit for Text-to-Speech, battle-tested in research and production

DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.

A generative speech model for daily dialogue.

OpenAssistant is a chat-based assistant that understands tasks, can interact with third-party systems, and retrieve information dynamically to do so.

The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (V…

Instant voice cloning by MIT and MyShell. Audio foundation model.

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

🤗 Diffusers: State-of-the-art diffusion models for image, video, and audio generation in PyTorch.

Facebook AI Research Sequence-to-Sequence Toolkit written in Python.

Code and documentation to train Stanford's Alpaca models, and generate the data.

Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials,…

State-of-the-art 2D and 3D Face Analysis Project

Generative Models by Stability AI

Fully open reproduction of DeepSeek-R1

Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch

Code for the paper "Language Models are Unsupervised Multitask Learners"

A Lightweight Face Recognition and Facial Attribute Analysis (Age, Gender, Emotion and Race) Library for Python