hujinsen

StarGAN-Voice-Conversion

full tensorflow implementation of the paper: StarGAN-VC: Non-parallel many-to-many voice conversion with star generative adversarial networks https://arxiv.org/abs/1806.02169

pytorch-StarGAN-VC

Fully reproduce the paper of StarGAN-VC. Stable training and Better audio quality .

python-machine-learning

吴恩达（Andrew Ng）在coursera的机器学习课程习题的python实现

pytorch_VAE_CVAE

pytorch implementation Variational Autoencoder and Conditional Variational Autoencoder

pytorch-GAN-CGAN

pytorch implementation of GAN and Conditional GAN

MSVC-GAN

DNGAN

AI-Job-Notes

AI算法岗求职攻略（涵盖准备攻略、刷题指南、内推和AI公司清单等资料）

install-cuda-cuDNN-etc

install [cuda9.0] [ cuDNN7.0] [ cuda-command-line-tools9.0] in one script

PyTorch_Speaker_Verification

PyTorch implementation of "Generalized End-to-End Loss for Speaker Verification" by Wan, Li et al.

hujinsen.github.io

FMSVC-GAN

MediaCrawler

SEGAN

A PyTorch implementation of SEGAN based on INTERSPEECH 2017 paper "SEGAN: Speech Enhancement Generative Adversarial Network"

segan-pytorch

SEGAN pytorch implementation https://arxiv.org/abs/1703.09452

shengyizhuanjia-ionic3

ThinkDSP

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