🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!

TensorFlow code and pre-trained models for BERT

PyTorch Tutorial for Deep Learning Researchers

Deezer source separation library including pretrained models.

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities

This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows".

A PyTorch-based Speech Toolkit

Code for the paper Hybrid Spectrogram and Waveform Source Separation

A PyTorch implementation of EfficientNet

Code for the paper "Jukebox: A Generative Model for Music"

PyTorch Lightning + Hydra. A very user-friendly template for ML experimentation. ⚡🔥⚡

Scenic: A Jax Library for Computer Vision Research and Beyond

出处：https://github.com/jackfrued/Python-100-Days.git

PyTorch code and models for V-JEPA self-supervised learning from video.

The PyTorch-based audio source separation toolkit for researchers

Audio generation using diffusion models, in PyTorch.

A Python library for audio data augmentation. Inspired by albumentations. Useful for machine learning.

🎚️ Open Source Audio Matching and Mastering

PyTorch implementation of the NIPS-17 paper "Poincaré Embeddings for Learning Hierarchical Representations"

Sound analysis/synthesis tools for music applications

A PyTorch impl of EfficientDet faithful to the original Google impl w/ ported weights

Contrastive Language-Audio Pretraining

MT3: Multi-Task Multitrack Music Transcription

Implementation of SoundStorm, Efficient Parallel Audio Generation from Google Deepmind, in Pytorch

Musicpy is a music programming language in Python designed to write music in very handy syntax through music theory and algorithms.

Open-Unmix - Music Source Separation for PyTorch

Audio Normalization for Python/ffmpeg