☆469Jun 9, 2024Updated 2 years ago
Alternatives and similar repositories for Causality
Users that are interested in Causality are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- ☆94Jun 23, 2022Updated 4 years ago
- Causal Graphical Models in Python☆250Feb 13, 2023Updated 3 years ago
- The open source repository for the Causal Modeling in Machine Learning Workshop at Altdeep.ai @ www.altdeep.ai/courses/causalAI☆805Dec 1, 2025Updated 8 months ago
- Resources related to causality☆272Feb 19, 2024Updated 2 years ago
- DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a uni…☆8,251Updated this week
- Proton VPN Special Offer - Get 70% off • AdSpecial partner offer. Trusted by over 100 million users worldwide. Tested, Approved and Recommended by Experts.
- Network and Graph Algorithms From Scratch☆112Oct 29, 2022Updated 3 years ago
- ☆30Nov 15, 2018Updated 7 years ago
- Epidemic Modeling for Everyone☆299Apr 14, 2025Updated last year
- Python code for part 2 of the book Causal Inference: What If, by Miguel Hernán and James Robins☆1,351Jan 8, 2022Updated 4 years ago
- Code to reproduce our paper on probabilistic algorithmic recourse: https://arxiv.org/abs/2006.06831☆38Dec 27, 2022Updated 3 years ago
- Package for causal inference in graphs and in the pairwise settings. Tools for graph structure recovery and dependencies are included.☆1,236Oct 13, 2025Updated 9 months ago
- An index of algorithms for learning causality with data☆3,279Jan 22, 2025Updated last year
- Repository for Deep Structural Causal Models for Tractable Counterfactual Inference☆298Jul 6, 2023Updated 3 years ago
- ☆50May 9, 2026Updated 3 months ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- A resource list for causality in statistics, data science and physics☆267Aug 1, 2026Updated last week
- List of python packages for causal inference☆17Oct 24, 2021Updated 4 years ago
- ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Inte…☆4,747Updated this week
- Uplift modeling and causal inference with machine learning algorithms☆5,950Updated this week
- ☆49Jul 6, 2023Updated 3 years ago
- Repository with code and slides for a tutorial on causal inference.☆590Sep 23, 2019Updated 6 years ago
- A python package with tools to perform causal inference using observational data when the treatment of interest is continuous.☆284Jan 5, 2026Updated 7 months ago
- Causal Inference for the Brave and True. A light-hearted yet rigorous approach to learning about impact estimation and causality.☆3,426Jul 8, 2026Updated last month
- Data Visualization With Matplotlib and Seaborn☆115Sep 29, 2024Updated last year
- 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.
- Curated list of resources for various topics, articles, tutorials, etc I've found useful.☆23Jun 29, 2022Updated 4 years ago
- Python package for the creation, manipulation, and learning of Causal DAGs☆163Apr 12, 2023Updated 3 years ago
- Causai is a Python package for Causality in Machine Learning. We provide state-of-the-art causal algorithms and ML into decision-making s…☆14Nov 21, 2020Updated 5 years ago
- A Python library that helps data scientists to infer causation rather than observing correlation.☆2,473Jun 29, 2026Updated last month
- TIme series DiscoverY BENCHmark (tidybench)☆38Feb 21, 2024Updated 2 years ago
- Natural Language Processing For Everyone☆136Sep 29, 2024Updated last year
- Flowchart to help choose which causal inference book to read. See https://bradyneal.github.io/which-causal-inference-book for more info s…☆60Nov 24, 2019Updated 6 years ago
- A curated list of awesome work on causal inference, particularly in machine learning.☆116May 1, 2021Updated 5 years ago
- Timeseries for everyone☆263Jul 6, 2023Updated 3 years ago
- Virtual machines for every use case on DigitalOcean • AdGet dependable uptime with 99.99% SLA, simple security tools, and predictable monthly pricing with DigitalOcean's virtual machines, called Droplets.
- Temporal Causal Discovery Framework (PyTorch): discovering causal relationships between time series☆539Oct 1, 2021Updated 4 years ago
- CausalLift: Python package for causality-based Uplift Modeling in real-world business☆357Apr 15, 2026Updated 3 months ago
- ☆81Aug 23, 2020Updated 5 years ago
- Must-read papers and resources related to causal inference and machine (deep) learning☆751Nov 23, 2022Updated 3 years ago
- Time Series Modeling: ML and Deep Learning Approaches with Python☆23Aug 17, 2021Updated 4 years ago
- Example causal datasets with consistent formatting and ground truth☆117Updated this week
- PyMC educational resources☆2,098Dec 23, 2024Updated last year