jingyuanChou

jingyuanChou's Stars

• huggingface/transformers

  🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

  Language:Python135k1.1k16.1k26.9k

• XingangPan/DragGAN

  Official Code for DragGAN (SIGGRAPH 2023)

  Language:Python35.7k9941883.5k

• nytimes/covid-19-data

  A repository of data on coronavirus cases and deaths in the U.S.

  7k3186173.5k

• zhaoxin94/awesome-domain-adaptation

  A collection of AWESOME things about domian adaptation

  5.1k13753871

• awslabs/gluonts

  Probabilistic time series modeling in Python

  Language:Python4.6k76962752

• py-why/EconML

  ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Intelligence concepts to economic decision making. One of its goals is to build a toolkit that combines state-of-the-art machine learning techniques with econometrics in order to bring automation to complex causal inference problems. To date, the ALICE Python SDK (econml) implements orthogonal machine learning algorithms such as the double machine learning work of Chernozhukov et al. This toolkit is designed to measure the causal effect of some treatment variable(s) t on an outcome variable y, controlling for a set of features x.

  Language:Jupyter Notebook3.8k76571716

• ddz16/TSFpaper

  This repository contains a reading list of papers on Time Series Forecasting/Prediction (TSF) and Spatio-Temporal Forecasting/Prediction (STF). These papers are mainly categorized according to the type of model.

  2k6523180

• Lionelsy/Conference-Accepted-Paper-List

  Some Conferences' accepted paper lists (including AI, ML, Robotic)

  96336273

• LongxingTan/Time-series-prediction

  tfts: Time Series Deep Learning Models in TensorFlow

  Language:Python8212319165

• wengong-jin/hgraph2graph

  Hierarchical Generation of Molecular Graphs using Structural Motifs

  Language:Python376748109

• bowenliu16/rl_graph_generation

  Language:Python3461912108

• AMLab-Amsterdam/CEVAE

  Causal Effect Inference with Deep Latent-Variable Models

  Language:Python325167101

• chrsmrrs/k-gnn

  Source code for our AAAI paper "Weisfeiler and Leman Go Neural: Higher-order Graph Neural Networks".

  Language:C++18242245

• jhartford/DeepIV

  Implementation of Deep IV: A Flexible Approach for Counterfactual Prediction

  Language:Python15414653

• lopezbec/COVID19_Tweets_Dataset

  This dataset contains all the COVID-19 related data from the paper "An Augmented Multilingual Twitter Dataset for Studying the COVID-19 Infodemic"

  Language:HTML565459

• vveitch/causal-network-embeddings

  Software and pre-processed data for "Using Embeddings to Correct for Unobserved Confounding in Networks"

  Language:Python55309

• msesia/deepknockoffs

  Approximate knockoffs and model-free variable selection.

  Language:Python513413

• jma712/HyperSCI

  Language:Python42105

• rik-helwegen/CEVAE_pytorch

  Language:Python381521

• ubikuity/List-of-neighboring-states-for-each-US-state

  List of neighboring/bordering/adjacent states for each USA state

  Language:C#333555

• afters-cool/transformer

  Implementation of Transformer model (originally from Attention is All You Need) applied to Time Series.

  Language:Jupyter Notebook27105

• dcliu99/MSDR

  Implementation for MSDR

  Language:Python25127

• msesia/knockoff-filter

  A versatile interface to the knockoff methodology.

  Language:MATLAB240210

• NSSAC/PatchSim

  Code for simulating the metapopulation SEIR model. Sample network for US national simulation included.

  Language:Jupyter Notebook243417

• WeijiaZhang24/TEDVAE

  Code for TEDVAE, a VAE-based treatment effect estimation algorithm.

  Language:Python20249

• lopezbec/COVID19_Tweets_Dataset_2020

  This dataset contains all the 2020 COVID-19 related data from the paper "An Augmented Multilingual Twitter Dataset for Studying the COVID-19 Infodemic"

  Language:HTML11207

• IrinaCristali/Peer-Contagion-on-Networks

  Code repository for the paper "Using Embeddings for Causal Estimation of Peer Influence in Social Networks"

  Language:Python83

• google/spatiotemporal-graphnn-tf

  Language:Jupyter Notebook54

• lostella/isf-deep-learning-workshop

  Language:Jupyter Notebook4401

• data-iitd/Grafenne

  Artefacts related to the ICML 2023 paper

  Language:Python2501