Causal Graphical Models in Python
☆250Feb 13, 2023Updated 3 years ago
Alternatives and similar repositories for causalgraphicalmodels
Users that are interested in causalgraphicalmodels are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Some notes on Causal Inference, with examples in python☆157Feb 24, 2020Updated 6 years ago
- Tools for causal analysis☆1,081Mar 11, 2025Updated last year
- Causal Inference in Python☆578Jun 21, 2025Updated last year
- Package for causal inference in graphs and in the pairwise settings. Tools for graph structure recovery and dependencies are included.☆1,238Oct 13, 2025Updated 11 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…☆8,319Updated this week
- Managed Kubernetes at scale on DigitalOcean • AdDigitalOcean Kubernetes includes the control plane, bandwidth allowance, container registry, automatic updates, and more for free.
- Illustration of counterfactual inference following Ferenc Huszar example☆13Aug 15, 2025Updated last year
- A Python Package providing two algorithms, DAME and FLAME, for fast and interpretable treatment-control matches of categorical data☆64Jul 26, 2025Updated last year
- ☆472Jun 9, 2024Updated 2 years ago
- A data index for learning causality.☆494Oct 25, 2023Updated 2 years ago
- An index of algorithms for learning causality with data☆3,284Jan 22, 2025Updated last year
- This tutorial will introduce key concepts in machine learning-based causal inference. This tutorial is used by professor Susan Athey in t…☆14Jul 21, 2023Updated 3 years ago
- ☆24Aug 19, 2020Updated 6 years ago
- DAGs with NO TEARS: Continuous Optimization for Structure Learning☆693May 26, 2026Updated 3 months ago
- ❓y0 (pronounced "why not?") is for causal inference in Python☆73Jul 12, 2026Updated 2 months ago
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- Ananke named for the Greek primordial goddess of necessity and causality, is a python package for causal inference using the language o…☆17May 28, 2020Updated 6 years ago
- Python code for part 2 of the book Causal Inference: What If, by Miguel Hernán and James Robins☆1,354Jan 8, 2022Updated 4 years ago
- Repository with code and slides for a tutorial on causal inference.☆591Sep 23, 2019Updated 6 years ago
- A Python package for modular causal inference analysis and model evaluations☆836May 26, 2026Updated 3 months ago
- Replication code for the article "Learning Functional Causal Models with Generative Neural Networks"☆99Jul 3, 2019Updated 7 years ago
- Statistical Rethinking (2nd ed.) with NumPyro☆473May 4, 2025Updated last year
- PyMC educational resources☆2,106Dec 23, 2024Updated last year
- The open source repository for the Causal Modeling in Machine Learning Workshop at Altdeep.ai @ www.altdeep.ai/courses/causalAI☆812Dec 1, 2025Updated 9 months ago
- ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Inte…☆4,789Updated 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.
- A resource list for causality in statistics, data science and physics☆268Aug 1, 2026Updated last month
- A Python library that helps data scientists to infer causation rather than observing correlation.☆2,478Aug 31, 2026Updated 2 weeks ago
- A Python package for causal inference in quasi-experimental settings☆1,190Updated this week
- This material has been created based on the tutorials of the course 14.388 Inference on Causal and Structural Parameters Using ML and AI …☆18May 5, 2023Updated 3 years ago
- GAM timeseries modeling with auto-changepoint detection. Inspired by Facebook Prophet and implemented in PyMC3☆328Oct 2, 2020Updated 5 years ago
- Code to reproduce our paper on probabilistic algorithmic recourse: https://arxiv.org/abs/2006.06831☆38Dec 27, 2022Updated 3 years ago
- Formulas for mixed-effects models in Python☆67Aug 14, 2026Updated last month
- Presented at Scipy Conference 2019☆129Mar 22, 2020Updated 6 years ago
- Python package for causal inference using Bayesian structural time-series models.☆242Jul 30, 2020Updated 6 years ago
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- Python Toolkit for Causal and Probabilistic Reasoning☆3,331Updated this week
- Library of AI agent skills for probabilistic programming☆17Feb 5, 2026Updated 7 months ago
- Uplift modeling and causal inference with machine learning algorithms☆6,002Aug 20, 2026Updated last month
- A collection of Bayesian data analysis recipes using PyMC3☆561May 16, 2026Updated 4 months ago
- Realistic benchmark for different causal inference methods. The realism comes from fitting generative models to data with an assumed caus…☆88Mar 29, 2021Updated 5 years ago
- Structural Causal Bandit☆28Sep 6, 2026Updated 2 weeks ago
- An experimental language for causal reasoning☆277Jul 24, 2026Updated last month