An index of algorithms for learning causality with data
☆3,282Jan 22, 2025Updated last year
Alternatives and similar repositories for awesome-causality-algorithms
Users that are interested in awesome-causality-algorithms are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- A data index for learning causality.☆494Oct 25, 2023Updated 2 years ago
- Uplift modeling and causal inference with machine learning algorithms☆5,982Aug 20, 2026Updated 2 weeks ago
- 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
- 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
- Must-read papers and resources related to causal inference and machine (deep) learning☆751Nov 23, 2022Updated 3 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.
- ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Inte…☆4,776Updated this week
- We will keep updating the paper list about machine learning + causal theory. We also internally discuss related papers between NExT++ (NU…☆515Mar 3, 2023Updated 3 years ago
- Trustworthy AI related projects☆1,133Jun 1, 2026Updated 3 months ago
- Resources related to causality☆273Feb 19, 2024Updated 2 years ago
- Causal Inference for the Brave and True. A light-hearted yet rigorous approach to learning about impact estimation and causality.☆3,452Jul 8, 2026Updated last month
- A Python library that helps data scientists to infer causation rather than observing correlation.☆2,477Updated this week
- 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
- Causal Effect Inference with Deep Latent-Variable Models☆368Jul 17, 2020Updated 6 years ago
- Counterfactual Regression☆319Dec 7, 2022Updated 3 years ago
- 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.
- DAGs with NO TEARS: Continuous Optimization for Structure Learning☆687May 26, 2026Updated 3 months ago
- A Python package for modular causal inference analysis and model evaluations☆835May 26, 2026Updated 3 months ago
- Tools for causal analysis☆1,081Mar 11, 2025Updated last year
- ☆298Apr 3, 2022Updated 4 years ago
- Temporal Causal Discovery Framework (PyTorch): discovering causal relationships between time series☆539Oct 1, 2021Updated 4 years ago
- Code for the WSDM '20 paper, Learning Individual Causal Effects from Networked Observational Data.☆78Jul 8, 2021Updated 5 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
- A every-so-often-updated collection of every causality + machine learning paper submitted to arXiv in the recent past.☆415Sep 10, 2020Updated 5 years ago
- ➕➕ Perfect Match is a simple method for learning representations for counterfactual inference with neural networks.☆132Mar 24, 2023Updated 3 years 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.
- Repository with code and slides for a tutorial on causal inference.☆590Sep 23, 2019Updated 6 years ago
- Extensive tutorials for learning how to build deep learning models for causal inference (HTE) using selection on observables in Tensorflo…☆355Oct 17, 2024Updated last year
- Causal Inference in Python☆578Jun 21, 2025Updated last year
- 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
- 因果推理&AB实验相关论文小书库☆251Mar 12, 2023Updated 3 years ago
- YLearn, a pun of "learn why", is a python package for causal inference☆434Jun 28, 2025Updated last year
- 💊 Comparing causality methods in a fair and just way.☆141Mar 23, 2020Updated 6 years ago
- Curated research at the intersection of causal inference and natural language processing.☆820Feb 1, 2024Updated 2 years ago
- Repository for Deep Structural Causal Models for Tractable Counterfactual Inference☆297Jul 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.
- CausalLift: Python package for causality-based Uplift Modeling in real-world business☆358Apr 15, 2026Updated 4 months ago
- ☆534Updated this week
- Generalized Random Forests☆1,107Apr 30, 2026Updated 4 months ago
- Repository for the Tetrad Project, www.phil.cmu.edu/tetrad.☆445Updated this week
- ☆329Dec 20, 2021Updated 4 years ago
- Python Toolkit for Causal and Probabilistic Reasoning☆3,323Aug 19, 2026Updated 2 weeks ago
- 关于domain generalization，domain adaptation，causality，robutness，prompt，optimization，generative model各式各样研究的阅读笔记☆1,243Dec 14, 2023Updated 2 years ago