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Mou Wang's Projects

abcs icon abcs

Air and bone conduction speech

acprop-optimizer icon acprop-optimizer

Implementation for ACProp ( Momentum centering and asynchronous update for adaptive gradient methdos, NeurIPS 2021)

annotated_deep_learning_paper_implementations icon annotated_deep_learning_paper_implementations

🧠 Implementations/tutorials of deep learning papers with side-by-side notes; including transformers (original, xl, switch, feedback), optimizers(adam, radam, adabelief), gans(dcgan, cyclegan, stylegan2), reinforcement learning (ppo, dqn), capsnet, sketch-rnn, etc.

ast icon ast

Code for the Interspeech 2021 paper "AST: Audio Spectrogram Transformer".

conv-tasnet icon conv-tasnet

A PyTorch implementation of "TasNet: Surpassing Ideal Time-Frequency Masking for Speech Separation"

cvc icon cvc

CVC: Contrastive Learning for Non-parallel Voice Conversion (INTERSPEECH 2021, in PyTorch)

dclgan icon dclgan

Code for Dual Contrastive Learning for Unsupervised Image-to-Image Translation, NTIRE, CVPRW 2021, oral.

ehnet icon ehnet

This in an implementation of EHNet in PyTorch and PyTorch Lightning. EHNet is a convolutional-recurrent neural network for single channel speech enhancement.

farnet icon farnet

Full-Attention Residual Network for End-to-End Speech Separation

fft-conv-pytorch icon fft-conv-pytorch

Implementation of 1D, 2D, and 3D FFT convolutions in PyTorch. Much faster than direct convolutions for large kernel sizes.

graphormer icon graphormer

This is the official implementation for "Do Transformers Really Perform Bad for Graph Representation?".

informer2020 icon informer2020

The GitHub repository for the paper accepted by AAAI 2021.

koila icon koila

Prevent PyTorch's `CUDA error: out of memory` in just 1 line of code.

libri-adhoc40 icon libri-adhoc40

A dataset collected from synchronized ad-hoc microphone arrays

nndl.github.io icon nndl.github.io

《神经网络与深度学习》 邱锡鹏著 Neural Network and Deep Learning

nsnet icon nsnet

Deep learning for Navier-Stokes equations in CFD

paddlevit icon paddlevit

:robot: PaddleViT: State-of-the-art Visual Transformer and MLP Models for PaddlePaddle 2.0+

pgmsu icon pgmsu

Shuaikai Shi, Min Zhao, Lijun Zhang, Yoann Altmann and Jie Chen, "Probabilistic Generative Model for Hyperspectral Unmixing Accounting for Endmember Variability," in IEEE TGRS 2021

preddbr icon preddbr

a predictor for protein-DNA binding residue prediction

pyaudioanalysis icon pyaudioanalysis

Python Audio Analysis Library: Feature Extraction, Classification, Segmentation and Applications

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