zhaozhiqian Goto Github PK

augmented-neural-odes

Pytorch implementation of Augmented Neural ODEs :sunflower:

bayes-by-backprop

" Weight Uncertainty in Neural Networks"

cause

compartmental-gp-neurips-2020

Source code for "When and How to Lift the Lockdown? Global COVID-19 Scenario Analysis and Policy Assessment using Compartmental Gaussian Processes" (NeurIPS 2020)

covid-19

Novel Coronavirus (COVID-19) Cases, provided by JHU CSSE

covid-policy-tracker

Systematic dataset of Covid-19 policy, from Oxford University

d-code-iclr-2022

D-CODE: Discovering Closed-form ODEs from Observed Trajectories

dash-heroku-template

Fool-proof template for deploying Dash apps on Heroku

datalystreload

Enjoy the match!

deep-symbolic-optimization

Source code for deep symbolic regression.

easy21

An illustration of Reinforcement Learning algorithms with the card game Easy21.

ffjord

code for "FFJORD: Free-form Continuous Dynamics for Scalable Reversible Generative Models".

flying-dog-beers

football

go

The Open Source Data Science Masters

gplearn

Genetic Programming in Python, with a scikit-learn inspired API

gran

Efficient Graph Generation with Graph Recurrent Attention Networks, Deep Generative Model of Graphs, Graph Neural Networks, NeurIPS 2019

graph-generation

GraphRNN: Generating Realistic Graphs with Deep Auto-regressive Models

hybrid-ode-neurips-2021

Code for Integrating Expert ODEs into Neural ODEs: Pharmacology and Disease Progression (NeurIPS 2021)

jss-second-draft

lantern-neurips-2019

Source code for NeurIPS 2019 paper "Learning Latent Processes from High-Dimensional Event Sequences via Efficient Sampling""

mfa

MFA ranking

neuralsymbolicregressionthatscales

Source code and Dataset creation for the paper "Neural Symbolic Regression That Scales"

neurawkes

Source code of The Neural Hawkes Process (NIPS 2017)

rank-encoding

rank encoding

rankdist

The R package rankdist

retain

RETAIN: Interpretable Predictive Model in Healthcare using Reverse Time Attention Mechanism

scikit-survival

Survival analysis built on top of scikit-learn

single-cause-perturbation-neurips-2021

Code for Estimating Multi-cause Treatment Effects via Single-cause Perturbation (NeurIPS 2021)

sta135-tweet-sentiment

The code used in STA135 project