TorchGeo: datasets, transforms, and models for geospatial data

DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphic…

Uplift modeling and causal inference with machine learning algorithms

Tigramite is a python package for causal inference with a focus on time series data. The Tigramite documentation is at

[CVPR2024] DisCo: Referring Human Dance Generation in Real World

trustworthy AI related projects

Generative Agents: Interactive Simulacra of Human Behavior

A comprehensive set of fairness metrics for datasets and machine learning models, explanations for these metrics, and algorithms to mitigate bias in datasets and models.

A PyTorch toolbox for domain adaptation and semi-supervised learning.

A game theoretic approach to explain the output of any machine learning model.

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

Based on the design logic, UrbanXTools could generate urban design automatically in a very short period of time, and evaluated from the view of sustainability, with the help of algorithms. While gr…

DHGNN source code for IJCAI19 paper: "Dynamic Hypergraph Neural Networks"

A Tensorflow 2.0 implementation of TabNet.

Official repository for CVPR21 paper "Deep Stable Learning for Out-Of-Distribution Generalization".

StyleGAN2 - Official TensorFlow Implementation

Repository for Deep Structural Causal Models for Tractable Counterfactual Inference