hanyangliu Goto Github PK

active_virtual_screening

MATLAB code to replicate experiments from https://doi.org/10.1007/s10822-015-9832-9

autoenvs

julia package for ngsim_env

autokeras

accessible AutoML for deep learning.

automotivedrivingmodels.jl

Driving simulation architecture for Julia

awesome-imbalanced-learning

A curated list of awesome imbalanced learning papers, codes, frameworks, and libraries. | 类别不平衡学习：论文、代码、框架与库

awesome-time-series

list of papers, code, and other resources

awesome-vaes

A curated list of awesome work on VAEs, disentanglement, representation learning, and generative models.

baselines

OpenAI Baselines: high-quality implementations of reinforcement learning algorithms

bcls

MATLAB code of "Balanced Clustering with Least Square Regression"

bmfasc

Bayesian Multi-Fidelity Active Search with Co-kriging

carla

Open-source simulator for autonomous driving research.

causalml

Uplift modeling and causal inference with machine learning algorithms

coursera-ml-andrewng-notes

吴恩达老师的机器学习课程个人笔记

csrankings

A web app for ranking computer science departments according to their research output in selective venues.

deep-learning-time-series

List of papers, code and experiments using deep learning for time series forecasting

deeptimeseriesmodel

A paper list for Time series modelling, including prediciton and anomaly detection

demand_forecast

dl-4-tsc

Deep Learning for Time Series Classification

dlinterview

Deep Learning Interview 深度学习面试题目汇总

edgeml.mdp

efficient_nonmyopic_active_search

Code for three papers on active search published at ICML2017, NeurIPS2018, NeurIPS2019

flask-aws-tutorial

Flask app that will get you up and running on AWS (also uses RDS as a database)

gru-d

GRU-D, a GRU-based model with trainable decays for multivariate time series classification with missing values/irregular samplings

hanyangliu.github.io

hgail

gail, infogail, hierarchical gail implementations

hiertcn

Hierarchical Temporal Convolutional Networks for Dynamic Recommender Systems

hipal

Code for KDD'22 Applied Data Science Track submission -- HiPAL: A Deep Framework for Physician Burnout Prediction Using Activity Logs in Electronic Health Records

hypoxemia-mlpred

Machine learning based hypoxemia prediction

hypoxemiapredict

imbalanced-semi-self

[NeurIPS 2020] Semi-Supervision (Unlabeled Data) & Self-Supervision Improve Class-Imbalanced / Long-Tailed Learning