DoubleML - Double Machine Learning in Python

repository for Causal&NLP works

Implementation of Eligibility Traces for Confounding Robust Off-Policy Evaluation in python

Implementation of Adaptively Exploiting d-Separators with Causal Bandits in python

Fine-Grained Causal Dynamics Learning with Quantization for Improving Robustness in Reinforcement Learning (ICML 2024)

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Collection of various algorithms in mathematics, machine learning, computer science, physics, etc implemented in C for educational purposes.

Collection of various algorithms in mathematics, machine learning, computer science and physics implemented in C++ for educational purposes.

All Algorithms implemented in Python

A reading list for papers on causality for natural language processing (NLP)

cuGraph - RAPIDS Graph Analytics Library

Experimental design and (multi-objective) bayesian optimization.

Causal discovery algorithms and tools for implementing new ones

PyTorch implementation of Soft Actor-Critic (SAC), Twin Delayed DDPG (TD3), Actor-Critic (AC/A2C), Proximal Policy Optimization (PPO), QT-Opt, PointNet..

Reinforcement Learning in PyTorch

Neural Causal Model (NCM) implementation by the authors of The Causal Neural Connection.

A companion for the Causal Artificial Intelligence book.

Implementations of common graphical models, utilities for creating random graphs, and sampling from graphical models.

Python implementation of the algorithms described in the paper ''Minimum Cost Intervention Design for Causal Effect Identification''

Code for Causal GAIL. "Learning human driving behaviors with sequential causal imitation learning", AAAI-22.

Repo accompanying a NeuRIPS2023 paper under the title 'Causal Imitability Under Context-Specific Independence Relations.'

A Python package for modular causal inference analysis and model evaluations

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

Sorting Google Scholar search results based on the number of citations