chenyangsu
PhD in Quantitative Life Sciences @ McGill University. Past: MSc in Computer Science @ McGill University / Lady Davis Institute / Mila
McGill UniversityMontreal, Quebec
Pinned Repositories
adversarial
Code and hyperparameters for the paper "Generative Adversarial Networks"
basic_reinforcement_learning
An introductory series to Reinforcement Learning (RL) with comprehensive step-by-step tutorials.
c
fun programs made by me
chenyangsu.github.io
Files for my personal website!
chenyangsu_old.github.io
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
CNN_design_for_AD
Code for NeuraIPS2019 ML4H "On the design of convolutional neural networks for automatic detection of Alzheimer's disease"
colonoscopy-discrete-event-sim
comp204
COMP206_Fall2018_Lectures_Public
somalogic
SomaLogic Proteomics COVID-19 work
chenyangsu's Repositories
chenyangsu/somalogic
SomaLogic Proteomics COVID-19 work
chenyangsu/adversarial
Code and hyperparameters for the paper "Generative Adversarial Networks"
chenyangsu/basic_reinforcement_learning
An introductory series to Reinforcement Learning (RL) with comprehensive step-by-step tutorials.
chenyangsu/c
fun programs made by me
chenyangsu/chenyangsu.github.io
Files for my personal website!
chenyangsu/chenyangsu_old.github.io
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
chenyangsu/CNN_design_for_AD
Code for NeuraIPS2019 ML4H "On the design of convolutional neural networks for automatic detection of Alzheimer's disease"
chenyangsu/colonoscopy-discrete-event-sim
chenyangsu/comp204
chenyangsu/COMP206_Fall2018_Lectures_Public
chenyangsu/comp302
Programming Languages and Paradigms
chenyangsu/compute-canada-hpc
Beginner tutorials and help for using Compute Canada's High Performance Computer. Learn to setup and run a Jupyter Notebook!
chenyangsu/deep-learning
Resources for deep learning: papers, articles, courses
chenyangsu/Deep-Reinforcement-Learning-Algorithms-with-PyTorch
PyTorch implementations of deep reinforcement learning algorithms and environments
chenyangsu/examples
Example deep learning projects that use wandb's features.
chenyangsu/games
Small games I made
chenyangsu/gans
Generative Adversarial Networks implemented in PyTorch and Tensorflow
chenyangsu/helpers
Various programs to help with sorting and organizing information
chenyangsu/ivado-mila-dl-school-2019
IVADO/ Mila's Summer Deep Learning School
chenyangsu/labelbuddy-annotations
Annotations of academic papers. The papers were likely gathered using pubget, and the annotations made with labelbuddy
chenyangsu/META_ANALYSIS
Tools for doing x way meta-analysis
chenyangsu/miscellaneous
miscellaneous programs
chenyangsu/ml_resources
Resources for all machine learning related work
chenyangsu/pGWAS_discovery
Code repository for Pietzner M, Wheeler E, et al. 2021 "Mapping the proteo-genomic convergence of human diseases"
chenyangsu/QLS600-git-training
chenyangsu/rlpyt
Reinforcement Learning in PyTorch
chenyangsu/staeiou.github.io
Github pages reference
chenyangsu/Time-Series
chenyangsu/ukb-extract
chenyangsu/workshop_datavis_python
Material for workshop on 'Interactive data visualisation with Python'.