Causal discovery algorithms and tools for implementing new ones
☆246Jul 10, 2025Updated 7 months ago
Alternatives and similar repositories for causality-lab
Users that are interested in causality-lab are comparing it to the libraries listed below
Sorting:
- Causal Discovery in Python. Learning causality from data.☆1,552Feb 18, 2026Updated last week
- Package for causal inference in graphs and in the pairwise settings. Tools for graph structure recovery and dependencies are included.☆1,221Oct 13, 2025Updated 4 months ago
- An awesome list of Causality and Machine Learning related papers, books and other resources.☆12Nov 13, 2023Updated 2 years ago
- ☆524Dec 16, 2024Updated last year
- Trustworthy AI related projects☆1,104Nov 13, 2025Updated 3 months ago
- Code for the paper: Amortized Causal Discovery: Learning to Infer Causal Graphs from Time-Series Data☆222Mar 25, 2022Updated 3 years ago
- Example causal datasets with consistent formatting and ground truth☆106Apr 14, 2025Updated 10 months ago
- Code for PCMCI-Ω algorithm from the NeurIPS'23 paper "Causal Discovery in Semi-Stationary Time Series"☆18Oct 16, 2024Updated last year
- Python package for causal discovery based on LiNGAM.☆471Feb 16, 2026Updated last week
- Causal discovery for time series☆104Feb 23, 2022Updated 4 years ago
- pyCausalFS：A Python Library of Causality-based Feature Selection for Causal Structure Learning and Classification☆71Dec 1, 2020Updated 5 years ago
- CPDAG Estimation using PC-Algorithm☆96Apr 18, 2022Updated 3 years ago
- Tigramite is a python package for causal inference with a focus on time series data. The Tigramite documentation is at☆1,607Jan 14, 2026Updated last month
- Makes algorithms/code in Tetrad available in Python via JPype☆91Feb 22, 2026Updated last week
- Causal discovery with typed directed acyclic graphs (t-DAG). This is a ServiceNow Research project that was started at Element AI.☆13Jul 6, 2023Updated 2 years ago
- DAGs with NO TEARS: Continuous Optimization for Structure Learning☆668May 17, 2024Updated last year
- ☆17Mar 23, 2023Updated 2 years ago
- Code for the causal benchmark library☆12Mar 11, 2025Updated 11 months ago
- Temporal Causal Discovery Framework (PyTorch): discovering causal relationships between time series☆530Oct 1, 2021Updated 4 years ago
- A Causal AI package for causal graphs.☆60Jan 20, 2026Updated last month
- ☆30Apr 24, 2024Updated last year
- ☆205Mar 23, 2023Updated 2 years ago
- Must-read papers and resources related to causal inference and machine (deep) learning☆751Nov 23, 2022Updated 3 years ago
- PyTorch Implementation of CausalFormer: An Interpretable Transformer for Temporal Causal Discovery☆82Apr 13, 2025Updated 10 months ago
- Causal Discovery from Nonstationary/Heterogeneous Data.☆55Jul 27, 2020Updated 5 years ago
- Code to reproduce the experiments from the paper "Self-Compatibility: Evaluating Causal Discovery without Ground Truth"☆12Mar 9, 2024Updated last year
- YLearn, a pun of "learn why", is a python package for causal inference☆432Jun 28, 2025Updated 8 months ago
- Notes, exercises and other materials related to causal inference, causal discovery and causal ML.☆162Dec 22, 2025Updated 2 months ago
- Framework to generate observational and interventional samples from structural equation models (SEMs)☆21Apr 14, 2025Updated 10 months ago
- Scalable open-source software to run, develop, and benchmark causal discovery algorithms☆77Feb 17, 2026Updated last week
- "Causality: Models, Reasoning, and Inference-Judea Pearl(2009)"中文翻译及学习笔记☆15Feb 18, 2022Updated 4 years ago
- An index of algorithms for learning causality with data☆3,244Jan 22, 2025Updated last year
- Salesforce CausalAI Library: A Fast and Scalable framework for Causal Analysis of Time Series and Tabular Data☆315May 1, 2025Updated 9 months ago
- Repository for "Differentiable Causal Discovery from Interventional Data"☆77Jan 31, 2022Updated 4 years ago
- Experimental library integrating LLM capabilities to support causal analyses☆290Jan 6, 2026Updated last month
- A Python 3 package for learning Bayesian Networks (DAGs) from data. Official implementation of the paper "DAGMA: Learning DAGs via M-matr…☆140Jan 14, 2024Updated 2 years ago
- BaCaDI: Bayesian Causal Discovery with Unknown Interventions☆13Feb 23, 2023Updated 3 years ago
- repository for Causal&NLP reading group☆11Jan 30, 2026Updated last month
- Diffusion Models for Causal Discovery☆92Mar 17, 2023Updated 2 years ago