Ruocheng Guo's Projects
An index of algorithms for learning causality with data
A data index for learning causality.
Materials for onboarding toward a publication on causal machine learning, designed for people with data mining and machine learning background
Causal Effect Inference with Deep Latent-Variable Models
Counterfactual Regression
Code for CIKM'18 paper, Linked Causal Variational Autoencoder for Inferring Paired Spillover Effects.
Data and code behind the stories and interactives at FiveThirtyEight
Python package built to ease deep learning on graph, on top of existing DL frameworks.
DomainBed is a suite to test domain generalization algorithms
A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
Exponential Machines implementation
fast_tffm: Tensorflow-based Distributed Factorization Machine
starter from "How to Train a GAN?" at NIPS2016
Implementation of Graph Convolutional Networks in TensorFlow
Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.
Keras implementation of the graph attention networks (GAT) by VeliΔkoviΔ et al. (2017; https://arxiv.org/abs/1710.10903)
PyTorch implementation of LeNet-5 with live visualization
A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks. It is under the umbrella of the DMTK(http://github.com/microsoft/dmtk) project of Microsoft.
Code for the WSDM '20 paper, Learning Individual Causal Effects from Networked Observational Data.
Natural Language Processing with Spark's MLlib
TensorFlow Neural Machine Translation Tutorial