Pinned Repositories
autovc
AutoVC: Zero-Shot Voice Style Transfer with Only Autoencoder Loss
Awesome-pytorch-list
A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.
courses
Course materials for the Data Science Specialization: https://www.coursera.org/specialization/jhudatascience/1
espnet
End-to-End Speech Processing Toolkit
hal_tutorial
Materials for the tutorial I gave to new HAL system users on "Introduction to Deep Learning" at the National Center for Supercomputing Applications
HW01
innvestigate
A toolbox to iNNvestigate neural networks' predictions!
keras-rl
Deep Reinforcement Learning for Keras.
minicourse
coding and sharing examples for the SST group minicourses
scripts-LING401
Those scripts are written for course projects of LING401.
ShujuShi's Repositories
ShujuShi/autovc
AutoVC: Zero-Shot Voice Style Transfer with Only Autoencoder Loss
ShujuShi/Awesome-pytorch-list
A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.
ShujuShi/courses
Course materials for the Data Science Specialization: https://www.coursera.org/specialization/jhudatascience/1
ShujuShi/espnet
End-to-End Speech Processing Toolkit
ShujuShi/hal_tutorial
Materials for the tutorial I gave to new HAL system users on "Introduction to Deep Learning" at the National Center for Supercomputing Applications
ShujuShi/HW01
ShujuShi/innvestigate
A toolbox to iNNvestigate neural networks' predictions!
ShujuShi/keras-rl
Deep Reinforcement Learning for Keras.
ShujuShi/minicourse
coding and sharing examples for the SST group minicourses
ShujuShi/scripts-LING401
Those scripts are written for course projects of LING401.
ShujuShi/Speech-Emotion-Analyzer
The neural network model is capable of detecting five different male/female emotions from audio speeches. (Deep Learning, NLP, Python)
ShujuShi/spf13-vim
The ultimate vim distribution
ShujuShi/styler_praat_scripts
This is a collection of Praat scripts, written, modified, or used by Will Styler, which he finds useful