Causal discovery algorithms and tools for implementing new ones
☆249Jul 10, 2025Updated 9 months ago
Alternatives and similar repositories for causality-lab
Users that are interested in causality-lab are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Causal Discovery in Python. Learning causality from data.☆1,574Mar 27, 2026Updated 2 weeks ago
- [Experimental] Global causal discovery algorithms☆113Mar 16, 2026Updated 3 weeks ago
- Package for causal inference in graphs and in the pairwise settings. Tools for graph structure recovery and dependencies are included.☆1,228Oct 13, 2025Updated 5 months ago
- An awesome list of Causality and Machine Learning related papers, books and other resources.☆12Nov 13, 2023Updated 2 years ago
- ☆527Dec 16, 2024Updated last year
- Simple, predictable pricing with DigitalOcean hosting • AdAlways know what you'll pay with monthly caps and flat pricing. Enterprise-grade infrastructure trusted by 600k+ customers.
- Code for the paper: Amortized Causal Discovery: Learning to Infer Causal Graphs from Time-Series Data☆223Mar 25, 2022Updated 4 years ago
- CPDAG Estimation using PC-Algorithm☆96Apr 18, 2022Updated 3 years ago
- Trustworthy AI related projects☆1,115Nov 13, 2025Updated 4 months ago
- Python implementation of the GES algorithm for causal discovery, from the 2002 paper "Optimal Structure Identification With Greedy Search…☆62Mar 3, 2025Updated last year
- 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.☆479Mar 2, 2026Updated last month
- Makes algorithms/code in Tetrad available in Python via JPype☆94Updated this week
- pyCausalFS：A Python Library of Causality-based Feature Selection for Causal Structure Learning and Classification☆71Dec 1, 2020Updated 5 years ago
- Tigramite is a python package for causal inference with a focus on time series data. The Tigramite documentation is at☆1,629Jan 14, 2026Updated 2 months ago
- Proton VPN Special Offer - Get 70% off • AdSpecial partner offer. Trusted by over 100 million users worldwide. Tested, Approved and Recommended by Experts.
- Example causal datasets with consistent formatting and ground truth☆108Apr 14, 2025Updated 11 months ago
- Causal discovery for time series☆106Feb 23, 2022Updated 4 years ago
- DAGs with NO TEARS: Continuous Optimization for Structure Learning☆674May 17, 2024Updated last year
- 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
- Notes, exercises and other materials related to causal inference, causal discovery and causal ML.☆162Mar 2, 2026Updated last month
- ☆205Mar 23, 2023Updated 3 years ago
- ☆17Mar 23, 2023Updated 3 years ago
- Framework to generate observational and interventional samples from structural equation models (SEMs)☆21Apr 14, 2025Updated 11 months ago
- 4th Year project aiming to implement PC, FCI and RFCI algorithms in python☆14Apr 29, 2019Updated 6 years ago
- Bare Metal GPUs on DigitalOcean Gradient AI • AdPurpose-built for serious AI teams training foundational models, running large-scale inference, and pushing the boundaries of what's possible.
- ☆30Apr 24, 2024Updated last year
- Temporal Causal Discovery Framework (PyTorch): discovering causal relationships between time series☆534Oct 1, 2021Updated 4 years ago
- Code to reproduce the experiments from the paper "Self-Compatibility: Evaluating Causal Discovery without Ground Truth"☆12Mar 9, 2024Updated 2 years ago
- PyTorch Implementation of CausalFormer: An Interpretable Transformer for Temporal Causal Discovery☆86Apr 13, 2025Updated 11 months ago
- Must-read papers and resources related to causal inference and machine (deep) learning☆749Nov 23, 2022Updated 3 years ago
- BaCaDI: Bayesian Causal Discovery with Unknown Interventions☆13Feb 23, 2023Updated 3 years ago
- A Python 3 package for learning Bayesian Networks (DAGs) from data. Official implementation of the paper "DAGMA: Learning DAGs via M-matr…☆144Jan 14, 2024Updated 2 years ago
- Implementations of var-sortability, sortnregress, and chain-orientation as presented in the article "Beware of the Simulated DAG": https:…☆15Nov 2, 2023Updated 2 years ago
- YLearn, a pun of "learn why", is a python package for causal inference☆430Jun 28, 2025Updated 9 months ago
- NordVPN Special Discount Offer • AdSave on top-rated NordVPN 1 or 2-year plans with secure browsing, privacy protection, and support for for all major platforms.
- Statistical Recurrent Unit based time series generative models for detecting nonlinear Granger causality☆36Oct 3, 2020Updated 5 years ago
- Repository for "Differentiable Causal Discovery from Interventional Data"☆77Jan 31, 2022Updated 4 years ago
- ☆33Feb 11, 2022Updated 4 years ago
- Scalable open-source software to run, develop, and benchmark causal discovery algorithms☆81Feb 17, 2026Updated last month
- ☆15Feb 28, 2023Updated 3 years ago
- repository for Causal&NLP reading group☆11Jan 30, 2026Updated 2 months ago
- Nonlinear Causal Discovery with Confounders☆21Feb 9, 2023Updated 3 years ago