TianyuDu

PhD Student at Stanford ICME

Stanford UniversityStanford, United States

Pinned Repositories

bemb
Language:Jupyter Notebook4 3 142
torch-choice
Choice modeling with PyTorch: logit model and nested logit model
Language:Jupyter Notebook42 5 279
deepsnap
Python library assists deep learning on graphs
Language:Python555 60 4857
GraphGym
Platform for designing and evaluating Graph Neural Networks (GNN)
Language:Python1.7k 24 49187
roland
Language:Jupyter Notebook131 7 1123
AnnEcon
Artificial Neural Networks on Economic Forecasting
Language:HTML5 1 02
AnnEconForecast
Artificial Neural Networks in Economic Forecasting (ANNEF)
Language:Python8 1 01
CSC413
Assignments for CSC413/2516 Winter 2020 Neural Networks and Deep Learning
Language:Jupyter Notebook6 1 02
Spikey_UofT_Notes
Tianyu's Notes for Lectures at UofT
Language:TeX33 1 03
TD-Rotman-FinHub-TDMDAL-Hackathon
Language:Jupyter Notebook4 1 04

TianyuDu's Repositories

TianyuDu/Spikey_UofT_Notes
Tianyu's Notes for Lectures at UofT
Language:TeX33 1 03
TianyuDu/AnnEconForecast
Artificial Neural Networks in Economic Forecasting (ANNEF)
Language:Python8 1 01
TianyuDu/CSC413
Assignments for CSC413/2516 Winter 2020 Neural Networks and Deep Learning
Language:Jupyter Notebook6 1 02
TianyuDu/TD-Rotman-FinHub-TDMDAL-Hackathon
Language:Jupyter Notebook4 1 04
TianyuDu/ugthesis
ECO499: undergraduate thesis at University of Toronto
Language:Python3 2 0
TianyuDu/UTCourses
Web scraping and retrieve course information from terminal
Language:Python2 2 0
TianyuDu/CodeNN
Implementing neural networks using basic python libraries only.
Language:Python1 1 0
TianyuDu/dowhy
DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphical models and potential outcomes frameworks.
Language:Python1 1 0
TianyuDu/IEEE_CIS_Fraud_Detection
IEEE-CIS Fraud Detection Competition on Kaggle
Language:Jupyter Notebook1 2 0
TianyuDu/notes
Lecture notes for courses at Stanford University and other places
Language:TeX1 2 01
TianyuDu/build_vocab
Building up vocabulary using NLP
Language:Python1 0
TianyuDu/career-code
Code for the paper "CAREER: Transfer Learning for Economic Prediction of Labor Sequence Data"
Language:Python
TianyuDu/CausalGraph
2 0
TianyuDu/causality
TianyuDu/deep-choice-website
Language:HTML1 0
TianyuDu/deepsnap
Python library assists deep learning on graphs
TianyuDu/forty-jekyll-theme
A Jekyll version of the "Forty" theme by HTML5 UP.
Language:SCSS
TianyuDu/graph-algo
Language:C++
TianyuDu/GraphGym
Platform for designing and evaluating Graph Neural Networks (GNN)
Language:Jupyter Notebook1 0
TianyuDu/htn-challenge-2019
Applyboard Hack The North 2019 Lightning Challenge!
Language:Python1 0
TianyuDu/ICMEPythonWorkshop2023
Home of the ICME Python Workshop, 2023 edition
0 0
TianyuDu/Kaggle_Titanic
Repository for Kaggle Titanic Prediction
Language:Python1 0
TianyuDu/Market-Wisdom
Language:Jupyter Notebook1 01
TianyuDu/MSandE311
Language:Python2 0
TianyuDu/resume
My resume
Language:TeX
TianyuDu/STATS202
STATS202 Final Project at Stanford (Summer 2019)
Language:Python2 0
TianyuDu/tianyudu
2 01
TianyuDu/tianyudu.github.io
Tianyu's Website
Language:CSS1 0
TianyuDu/TimeSeries
Python Codes for Optional Problem Sets of ECO374: Forecasting and Time Series Econometrics
Language:Jupyter Notebook1 0
TianyuDu/UTHackVI
University of Toronto Hack VI
Language:Jupyter Notebook