A curated list of awesome work on causal inference, particularly in machine learning.
☆113May 1, 2021Updated 4 years ago
Alternatives and similar repositories for Awesome-Causal-Inference
Users that are interested in Awesome-Causal-Inference 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 (concise) curated list of awesome Causal Inference resources.☆258Sep 13, 2022Updated 3 years ago
- A data index for learning causality.☆487Oct 25, 2023Updated 2 years ago
- An index of algorithms for learning causality with data☆3,252Jan 22, 2025Updated last year
- Documentation and User Guide for DoubleML - Double Machine Learning in Python & R☆24Apr 1, 2026Updated 2 weeks ago
- Lecture notes for the Causality in Machine Learning course☆15May 29, 2019Updated 6 years ago
- Managed Database hosting by DigitalOcean • AdPostgreSQL, MySQL, MongoDB, Kafka, Valkey, and OpenSearch available. Automatically scale up storage and focus on building your apps.
- Benchmark scripts for comparing tutorials in PyTorch and JAX☆14Aug 25, 2022Updated 3 years ago
- ☆11Jun 15, 2019Updated 6 years ago
- Realistic benchmark for different causal inference methods. The realism comes from fitting generative models to data with an assumed caus…☆86Mar 29, 2021Updated 5 years ago
- Implementation of paper Long-Term Effect Estimation with Surrogate Representation☆14Oct 20, 2020Updated 5 years ago
- A curated list of Neuro-Symbolic Visual Reasoning☆16Jul 23, 2021Updated 4 years ago
- Efficient retrieval head analysis with triton flash attention that supports topK probability☆13Jun 15, 2024Updated last year
- ☆46Feb 16, 2022Updated 4 years ago
- This package provides simple functions to verify and evaluate WebVision dataset.☆15Mar 25, 2018Updated 8 years ago
- Implementation of the paper titled: "FACE: Feasible and actionable counterfactual recourse" by Rafael et. at. - https://arxiv.org/pdf/190…☆14Dec 12, 2020Updated 5 years ago
- Serverless GPU API endpoints on Runpod - Bonus Credits • AdSkip the infrastructure headaches. Auto-scaling, pay-as-you-go, no-ops approach lets you focus on innovating your application.
- A Python package for modular causal inference analysis and model evaluations☆813Apr 6, 2025Updated last year
- ☆65Jul 25, 2024Updated last year
- PyTorch Implementation for the paper "C3VQG: Category Consistent Cyclic Visual Question Generation" (ACM MM Asia'20).☆17Mar 31, 2023Updated 3 years ago
- Curated research at the intersection of causal inference and natural language processing.☆815Feb 1, 2024Updated 2 years ago
- Implementation of the Latent CCM paper☆18Jun 8, 2024Updated last year
- A reading list for papers on causality for natural language processing (NLP)☆689May 29, 2025Updated 10 months ago
- Group-conditional DRO to alleviate spurious correlations☆15Jul 15, 2021Updated 4 years ago
- An open-source package of causal feature selection and causal (Bayesian network) structure learning (C/C++ version)☆63Nov 17, 2020Updated 5 years ago
- counterfactuals for magnetic resonance images of multiple sclerosis☆26Apr 24, 2021Updated 4 years ago
- Managed hosting for WordPress and PHP on Cloudways • AdManaged hosting for WordPress, Magento, Laravel, or PHP apps, on multiple cloud providers. Deploy in minutes on Cloudways by DigitalOcean.
- This is the repository holding the code used to perform the analysis used in the manuscript "Machine learning in policy evaluation: new t…☆11Sep 12, 2019Updated 6 years ago
- ☆470Jun 9, 2024Updated last year
- Code to reproduce our paper on probabilistic algorithmic recourse: https://arxiv.org/abs/2006.06831☆37Dec 27, 2022Updated 3 years ago
- The open source repository for the Causal Modeling in Machine Learning Workshop at Altdeep.ai @ www.altdeep.ai/courses/causalAI☆794Dec 1, 2025Updated 4 months ago
- Reimplementation of NOTEARS in Tensorflow☆32Mar 24, 2023Updated 3 years ago
- Causality with machine learning, topic including causal represenation learning, causal reinforcement learning☆11Apr 19, 2021Updated 5 years ago
- Kaggle Heritage Health Prize Challenge☆19Dec 5, 2023Updated 2 years ago
- ☆13Feb 1, 2024Updated 2 years ago
- 💉📈 Dose response networks (DRNets) are a method for learning to estimate individual dose-response curves for multiple parametric treatm…☆95Mar 24, 2023Updated 3 years ago
- Deploy open-source AI quickly and easily - Bonus Offer • AdRunpod Hub is built for open source. One-click deployment and autoscaling endpoints without provisioning your own infrastructure.
- GRAPL: A computational library for nonparametric structural causal modelling, analysis and inference☆85Dec 20, 2024Updated last year
- Extensive tutorials for learning how to build deep learning models for causal inference (HTE) using selection on observables in Tensorflo…☆349Oct 17, 2024Updated last year
- The code for the paper *The Sensitivity of Counterfactual Fairness to Unmeasured Confounding* @ UAI 2019☆14Apr 4, 2020Updated 6 years ago
- Quarto Template for APSR Submissions☆15Mar 18, 2026Updated last month
- Model Agnostic Counterfactual Explanations☆90Sep 30, 2022Updated 3 years ago
- Repository with code and slides for a tutorial on causal inference.☆586Sep 23, 2019Updated 6 years ago
- Spatiotemporal datasets collected for network science, deep learning and general machine learning research.☆64Dec 28, 2025Updated 3 months ago