Package for causal inference in graphs and in the pairwise settings. Tools for graph structure recovery and dependencies are included.
☆1,237Oct 13, 2025Updated 10 months ago
Alternatives and similar repositories for CausalDiscoveryToolbox
Users that are interested in CausalDiscoveryToolbox 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.☆1,681Jul 11, 2026Updated last month
- Trustworthy AI related projects☆1,133Jun 1, 2026Updated 3 months ago
- An index of algorithms for learning causality with data☆3,282Jan 22, 2025Updated last year
- DAGs with NO TEARS: Continuous Optimization for Structure Learning☆687May 26, 2026Updated 3 months ago
- DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a uni…☆8,297Updated this week
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- Replication code for the article "Learning Functional Causal Models with Generative Neural Networks"☆100Jul 3, 2019Updated 7 years ago
- Temporal Causal Discovery Framework (PyTorch): discovering causal relationships between time series☆539Oct 1, 2021Updated 4 years ago
- Python package for causal discovery based on LiNGAM.☆504Updated this week
- ☆206Mar 23, 2023Updated 3 years ago
- Tigramite is a python package for causal inference with a focus on time series data. The Tigramite documentation is at☆1,713Jan 14, 2026Updated 7 months ago
- Uplift modeling and causal inference with machine learning algorithms☆5,982Aug 20, 2026Updated last week
- Code for the Structural Agnostic Model (https://arxiv.org/abs/1803.04929)☆55Jan 18, 2021Updated 5 years ago
- A Python library that helps data scientists to infer causation rather than observing correlation.☆2,477Updated this week
- Code for the paper: Amortized Causal Discovery: Learning to Infer Causal Graphs from Time-Series Data☆223Mar 25, 2022Updated 4 years ago
- GPUs on demand by Runpod - Special Offer Available • AdRun AI, ML, and HPC workloads on powerful cloud GPUs—without limits or wasted spend. Deploy GPUs in under a minute and pay by the second.
- Repository for the Tetrad Project, www.phil.cmu.edu/tetrad.☆445Updated this week
- Repository for "Differentiable Causal Discovery from Interventional Data"☆80Jan 31, 2022Updated 4 years ago
- A data index for learning causality.☆494Oct 25, 2023Updated 2 years ago
- Causal discovery algorithms and tools for implementing new ones☆252Jul 22, 2026Updated last month
- CPDAG Estimation using PC-Algorithm☆97Apr 18, 2022Updated 4 years ago
- ☆329Dec 20, 2021Updated 4 years ago
- ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Inte…☆4,776Updated this week
- Tools for causal analysis☆1,081Mar 11, 2025Updated last year
- The open source repository for the Causal Modeling in Machine Learning Workshop at Altdeep.ai @ www.altdeep.ai/courses/causalAI☆809Dec 1, 2025Updated 9 months ago
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- Causal Inference in Python☆578Jun 21, 2025Updated last year
- [Experimental] Global causal discovery algorithms☆115Updated this week
- A Python package for modular causal inference analysis and model evaluations☆835May 26, 2026Updated 3 months ago
- Python Toolkit for Causal and Probabilistic Reasoning☆3,323Aug 19, 2026Updated 2 weeks ago
- ☆534Updated this week
- Must-read papers and resources related to causal inference and machine (deep) learning☆751Nov 23, 2022Updated 3 years ago
- Causal discovery for time series☆109Feb 23, 2022Updated 4 years ago
- Makes algorithms/code in Tetrad available in Python via JPype☆99Updated this week
- Repository with code and slides for a tutorial on causal inference.☆590Sep 23, 2019Updated 6 years ago
- GPUs on demand by Runpod - Special Offer Available • AdRun AI, ML, and HPC workloads on powerful cloud GPUs—without limits or wasted spend. Deploy GPUs in under a minute and pay by the second.
- Causal Effect Inference with Deep Latent-Variable Models☆368Jul 17, 2020Updated 6 years ago
- pyCausalFS:A Python Library of Causality-based Feature Selection for Causal Structure Learning and Classification☆71Dec 1, 2020Updated 5 years ago
- Implement PC algorithm in Python | PC 算法的 Python 实现☆119Oct 29, 2023Updated 2 years ago
- Source code of AAAI'22 paper: A Hybrid Causal Structure Learning Algorithm for Mixed-type Data☆40Jun 10, 2022Updated 4 years ago
- Python package for the creation, manipulation, and learning of Causal DAGs☆163Apr 12, 2023Updated 3 years ago
- Causal Graphical Models in Python☆250Feb 13, 2023Updated 3 years ago
- Python code for part 2 of the book Causal Inference: What If, by Miguel Hernán and James Robins☆1,355Jan 8, 2022Updated 4 years ago