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asteroid

The PyTorch-based audio source separation toolkit for researchers

av-dkf

Audio-visual Deep Kalman Filter (AV-DKF) for Speech Enhancement

avse-vae

avse_challenge

1st COG-MHEAR Audio-Visual Speech Enhancement Challenge

avspeech-downloader

AVSpeech downloader

bda_course_aalto

Bayesian Data Analysis course at Aalto

benchmark_vae

Unifying Generative Autoencoder implementations in Python

dictionary-learning

This repository contains implementations of various dictionary learning algorithms for sparse representation.

disentanglement_lib

disentanglement_lib is an open-source library for research on learning disentangled representations.

effectivepytorch

PyTorch tutorials and best practices.

ganjoor-tex

intro_dgm

An Introduction to Deep Generative Modeling: Examples

low-coherence-dl

Dictionary Learning with Low Mutual Coherence Constraint

mediaio

min-vae

Mixture of Inference Networks for Audio-visual Speech Enhancement

msaadeghii.github.io

Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes

optml_course

EPFL Course - Optimization for Machine Learning - CS-439

ps-rvae-se

Posterior Sampling Algorithms for Speech Enhancement based on RVAE

python-pesq

A python package for calculating the PESQ.

real-time-audio-visual-speech-enhancement

robustrigidregistration

A project on designing robust methods to perform rigid point-to-point registration.

sdm-vae

sparse-recovery

This project is about implementation of several sparse recovery algorithms and related problems.

sudo_rm_rf

Code for SuDoRm-Rf networks for efficient audio source separation. SuDoRm-Rf stands for SUccessive DOwnsampling and Resampling of Multi-Resolution Features which enables a more efficient way of separating sources from mixtures.

torchsample

High-Level Training, Data Augmentation, and Utilities for Pytorch

vae-cvae-mnist

Variational Autoencoder and Conditional Variational Autoencoder on MNIST in PyTorch