🤗 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.

Animation engine for explanatory math videos

The Python programming language

🧑‍🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), ga…

YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite

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

The uncompromising Python code formatter

A toolkit for developing and comparing reinforcement learning algorithms.

Real-ESRGAN aims at developing Practical Algorithms for General Image/Video Restoration.

Python packaging and dependency management made easy

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

OpenMMLab Detection Toolbox and Benchmark

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

Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow

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

get things from one computer to another, safely

Turn (almost) any Python command line program into a full GUI application with one line

🤗 PEFT: State-of-the-art Parameter-Efficient Fine-Tuning.

Code samples for my book "Neural Networks and Deep Learning"

Mamba SSM architecture

An extremely fast Python type checker and language server, written in Rust.

A high-performance, zero-overhead, extensible Python compiler with built-in NumPy support

Image Polygonal Annotation with Python (polygon, rectangle, circle, line, point and image-level flag annotation).

🦉 Data Versioning and ML Experiments

Image augmentation for machine learning experiments.

SciPy library main repository

An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.

Convert Machine Learning Code Between Frameworks

Pyodide is a Python distribution for the browser and Node.js based on WebAssembly

A hyperparameter optimization framework