tcchriszhao,github

motor_activity_depressiondetection

My final year dissertation project. This project takes motor activity data from a control group and a condition group. The data is filtered, cleaned and transformed for appropriate use to find the "best" classification algorithm to identify depressed patients from non-depressed patients

nlp_course

YSDA course in Natural Language Processing

openselfsup

Self-Supervised Learning Toolbox and Benchmark

optimaltransport.github.io

Web site of the Computational Optimal Transport book

opw

Order-preserving Optimal Transport for Distances between Sequences

ot-gan

Code for the paper "Improving GANs Using Optimal Transport"

ot_demo

demo codes for several approximate optimal transport solvers

otml_statlearn2018

Courses and practical sessions for the Optimal Transport and Machine learning course at Statlearn 2018

owda

Order-Preserving Wasserstein Discriminant Analysis

plotneuralnet

Latex code for making neural networks diagrams

posdefmanifold.jl

A Julia package for manipulating data in the Riemannian manifold of positive definite matrices

pot

Python Optimal Transport library

predicting-depression

Project using machine learning to predict depression using health care data from the CDC NHANES website. A companion dashboard for users to explore the data in this project was created using Streamlit. Written with python using jupyter notebook for the main project flow/analysis and visual studio code for writing custom functions and creating the dashboard.