Stars
Implementation of Band Split Roformer, SOTA Attention network for music source separation out of ByteDance AI Labs
Vector (and Scalar) Quantization, in Pytorch
MIDI / symbolic music tokenizers for Deep Learning models 🎶
Collection of papers related to neural nets/machine learning for audio DSP.
Perform transfer learning for MIR using Jukebox!
Third-party audio effects plugins as differentiable layers within deep neural networks.
Investment Research for Everyone, Everywhere.
Collection of audio-focused loss functions in PyTorch
Implementation of the convolutional module from the Conformer paper, for use in Transformers
Flexible and powerful tensor operations for readable and reliable code (for pytorch, jax, TF and others)
Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch
Omniscient Mozart, being able to transcribe everything in the music, including vocal, drum, chord, beat, instruments, and more.
[BMVC2020 Best Paper Award] Official Implementation for Delving deeper into anti-aliasing in convnets
Graph Neural Network Library for PyTorch
DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.
Code for paper: "Visual Explanation for Deep Metric Learning"
A minimal PyTorch re-implementation of the OpenAI GPT (Generative Pretrained Transformer) training
Official PyTorch Implementation of Proxy Anchor Loss for Deep Metric Learning, CVPR 2020
The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.
Python package built to ease deep learning on graph, on top of existing DL frameworks.
Listen to Look: Action Recognition by Previewing Audio (CVPR 2020)
A Python-embedded modeling language for convex optimization problems.
Code for the paper "Jukebox: A Generative Model for Music"
A python toolkit for automatic audio/MIDI rendering using REAPER