A curated list of awesome self-supervised methods

😎 An up-to-date & curated list of awesome semi-supervised learning papers, methods & resources.

Code for the Advanced Python course.

Fast audio data augmentation in PyTorch. Inspired by audiomentations. Useful for deep learning.

Simple collection of MIR datasets with metadata and links

Stochastic multi-stream sampling for iterative learning

solo-learn: a library of self-supervised methods for visual representation learning powered by Pytorch Lightning

PyTorch implementation of Contrastive Learning methods

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

Steer OpenAI's Jukebox with Music Taggers

Code release for NeRF (Neural Radiance Fields)

Learning in infinite dimension with neural operators.

Extract the melody from an audio file and export to MIDI and back to wav

Encoding position with the word embeddings.

Sacred is a tool to help you configure, organize, log and reproduce experiments developed at IDSIA.

PyTorch code for Vision Transformers training with the Self-Supervised learning method DINO

Implementation of LambdaNetworks, a new approach to image recognition that reaches SOTA with less compute

Implementation of Perceiver, General Perception with Iterative Attention, in Pytorch

A library for augmenting annotated audio data

Tips for releasing research code in Machine Learning (with official NeurIPS 2020 recommendations)

The PyTorch-based audio source separation toolkit for researchers

Google Research

ISMIR 2020 Tutorial for Metric Learning in MIR

Simple text to phones converter for multiple languages

Implementation of WaveGrad high-fidelity vocoder from Google Brain in PyTorch.

Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more

A minimal PyTorch re-implementation of the OpenAI GPT (Generative Pretrained Transformer) training

kapre: Keras Audio Preprocessors