🤗 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

YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite

Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.

Python framework for creating, editing, and running Noisy Intermediate-Scale Quantum (NISQ) circuits.

Learning in infinite dimension with neural operators.

PennyLane is an open-source quantum software platform for quantum computing, quantum machine learning, and quantum chemistry. Create meaningful quantum algorithms, from inspiration to implementation.

Bag of Tricks and A Strong Baseline for Deep Person Re-identification

An open-source Python framework for hybrid quantum-classical machine learning.

Open source person re-identification library in python

Generative Adversarial Transformers

A practical and feature-rich paraphrasing framework to augment human intents in text form to build robust NLU models for conversational engines. Created by Prithiviraj Damodaran. Open to pull reque…

Multiple Object Tracking with Transformer