Pinned Repositories
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)
DNGAN
hujinsen.github.io
install-cuda-cuDNN-etc
install [cuda9.0] [ cuDNN7.0] [ cuda-command-line-tools9.0] in one script
MSVC-GAN
python-machine-learning
吴恩达(Andrew Ng)在coursera的机器学习课程习题的python实现
pytorch-GAN-CGAN
pytorch implementation of GAN and Conditional GAN
pytorch-StarGAN-VC
Fully reproduce the paper of StarGAN-VC. Stable training and Better audio quality .
pytorch_VAE_CVAE
pytorch implementation Variational Autoencoder and Conditional Variational Autoencoder
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
hujinsen's Repositories
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
hujinsen/pytorch-StarGAN-VC
Fully reproduce the paper of StarGAN-VC. Stable training and Better audio quality .
hujinsen/python-machine-learning
吴恩达(Andrew Ng)在coursera的机器学习课程习题的python实现
hujinsen/pytorch_VAE_CVAE
pytorch implementation Variational Autoencoder and Conditional Variational Autoencoder
hujinsen/pytorch-GAN-CGAN
pytorch implementation of GAN and Conditional GAN
hujinsen/MSVC-GAN
hujinsen/DNGAN
hujinsen/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)
hujinsen/install-cuda-cuDNN-etc
install [cuda9.0] [ cuDNN7.0] [ cuda-command-line-tools9.0] in one script
hujinsen/PyTorch_Speaker_Verification
PyTorch implementation of "Generalized End-to-End Loss for Speaker Verification" by Wan, Li et al.
hujinsen/hujinsen.github.io
hujinsen/FMSVC-GAN
hujinsen/MediaCrawler
hujinsen/SEGAN
A PyTorch implementation of SEGAN based on INTERSPEECH 2017 paper "SEGAN: Speech Enhancement Generative Adversarial Network"
hujinsen/segan-pytorch
SEGAN pytorch implementation https://arxiv.org/abs/1703.09452
hujinsen/shengyizhuanjia-ionic3
hujinsen/ThinkDSP
Think DSP: Digital Signal Processing in Python, by Allen B. Downey.