There are 2 repositories under causal topic.
Causal Discovery in Python. It also includes (conditional) independence tests and score functions.
A Python package for modular causal inference analysis and model evaluations
CausalVLR: A Toolbox and Benchmark for Visual-Linguistic Causal Reasoning (视觉-语言因果推理开源框架)
Awesome Neural Logic and Causality: MLN, NLRL, NLM, etc. 因果推断,神经逻辑,强人工智能逻辑推理前沿领域。
(Realtime) Temporal Convolutions in PyTorch
Bayesian inference from binary causal models
Causal Inference Using Quasi-Experimental Methods
[IEEE T-PAMI 2023] Cross-Modal Causal Relational Reasoning for Event-Level Visual Question Answering
Code to reproduce the experiments from the paper "Self-Compatibility: Evaluating Causal Discovery without Ground Truth"
The concept of using a LLM for developing a work plan.
This library provides packages on DoubleML / Causal Machine Learning and Neural Networks in Python for Simulation and Case Studies.
Construction of weights for causal inference for continuous treatments
This repository focuses on advancing the process of causal graph generation by integrating the capabilities of Large Language Models (LLMs) and time-tested algorithms from causal theory.
SPPH 504 (section 007): Application of Epidemiological Methods
Causal Conceptions of Fairness and their Consequences
WikiCausal: Corpus and Task for Evaluation of Causal Knowledge Graph Construction
Implementation PyTorch codes for causal discovery
Causal Pattern, ontology design pattern for representing the structure and semantics of causal relations.
Replication repository for "High Resolution Treatment Effects Estimation: Uncovering Effect Heterogeneities with the Modified Causal Forest"
Repository for my first RMarkdown Document, an amateur causal analysis of a scientific presentation at my uni
Bayesian inference with large causal models. CausalQueries companion.