World of Warcraft addon that provides a powerful framework to display customizable graphics on your screen.

"Probabilistic Machine Learning" - a book series by Kevin Murphy

[ECCV2020 Oral] Learning Lane Graph Representations for Motion Forecasting

[NeurIPS 2020] Causal Discovery in Physical Systems from Videos

Design multi-agent environments and simple reward functions such that social driving behavior emerges

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

Open-source simulator for autonomous driving research.

Repository for the Tetrad Project, www.phil.cmu.edu/tetrad.

A Curated List of Computational Biology Datasets Suitable for Machine Learning

Code for automated dependence plots developed in our UAI 2020 paper.

The Differentiable Cross-Entropy Method

Python implementation of "Characterizing Distribution Equivalence and Structure Learning for Cyclic and Acyclic Directed Graphs," in ICML 2020

Statistical Learning Theory (CS229T) Lecture Notes

Causal Discovery from Nonstationary/Heterogeneous Data.

Python package for causal discovery based on LiNGAM.

A generalized score-based method for Causal Discovery

Sprites video data used in the ICML 2018 paper

disentanglement_lib is an open-source library for research on learning disentangled representations.

MNIST converted to PNG format

Gemini is a modern LaTex beamerposter theme 🖼

Google Research

Rethinking the Value of Network Pruning (Pytorch) (ICLR 2019)

Implementation of "DAGs with NO TEARS: Smooth Optimization for Structure Learning", by Zheng et al. (2018)

Open Korean Text Processor - An Open-source Korean Text Processor