groadabike Goto Github PK

neural-networks

onair-music-dataset

:musical_note: a new stem dataset for Music Demixing research, from the OnAir royalty-free music project

pycave

Traditional Machine Learning Models for Large-Scale Datasets in PyTorch.

pychain_example

pytorch

PyTorch tutorials A to Z

pytorch-deep-learning

Deep Learning (with PyTorch)

pytorch-generative-models

[IN PROGRESS] An introduction to generative adversarial networks (GANs) and variational autoencoders (VAEs) in PyTorch, by implementing a few key architectures.

pytorch-lightning

The lightweight PyTorch wrapper for ML researchers. Scale your models. Write less boilerplate

pytorch-seq2seq

Tutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText.

pytorch-tutorial

PyTorch Tutorial for Deep Learning Researchers

recurrent-visual-attention

A PyTorch Implementation of "Recurrent Models of Visual Attention"

sdx-submissions

Sound Demixing Challenge Submission Repo

speech-separation-paper

A must-read paper for speech separation based on neural networks

speechbrain

A PyTorch-based Speech Toolkit

tdnn

PyTorch implementation of a Time Delay Neural Network (TDNN)

thinkdsp

Think DSP: Digital Signal Processing in Python, by Allen B. Downey.

torch_audioset

PyTorch transcribed audioset classifier, including VGGish and YAMNet, along with utils to manipulate autioset category ontology.

torchvggish

Pytorch port of Google Research's VGGish model used for extracting audio features.

tron_game_for_iphone

vae-audio

Variational auto-encoders for audio

variational-autoencoders

vggish

creates a release to share vggish weights

voice_datasets

🔊 A comprehensive list of open-source datasets for voice and sound computing (40+ datasets).

vsep-dataset

Processed version of DAMP-VSEP dataset by Smule used for training source separation models in my thesis.

wave-u-net

Implementation of the Wave-U-Net for audio source separation

wave-u-net-for-speech-enhancement

Improved speech enhancement with the Wave-U-Net, a deep convolutional neural network architecture for audio source separation, implemented for the task of speech enhancement in the time-domain.

wave-u-net-pytorch

Improved Wave-U-Net implemented in Pytorch

website-templates

150+ Website Templates