Extensive tutorials for learning how to build deep learning models for causal inference (HTE) using selection on observables in Tensorflow 2 and Pytorch.
☆355Oct 17, 2024Updated 2 years ago
Alternatives and similar repositories for Deep-Learning-for-Causal-Inference
Users that are interested in Deep-Learning-for-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:
- Must-read papers and resources related to causal inference and machine (deep) learning☆752Nov 23, 2022Updated 3 years ago
- ☆299Apr 3, 2022Updated 4 years ago
- Sklearn-style implementations of Neural Network-based Conditional Average Treatment Effect (CATE) Estimators.☆160Jun 22, 2024Updated 2 years ago
- Counterfactual Regression☆320Dec 7, 2022Updated 3 years ago
- An index of algorithms for learning causality with data☆3,298Oct 7, 2026Updated 3 weeks 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.
- Uplift modeling and causal inference with machine learning algorithms☆6,037Oct 12, 2026Updated 3 weeks ago
- A curated list of causal inference libraries, resources, and applications.☆1,211Apr 21, 2026Updated 6 months ago
- 💉📈 Dose response networks (DRNets) are a method for learning to estimate individual dose-response curves for multiple parametric treatm…☆96Mar 24, 2023Updated 3 years ago
- heterogeneous treatment effect estimation with causal forests☆12May 1, 2023Updated 3 years ago
- Causal Effect Inference for Structured Treatments (SIN) (NeurIPS 2021)☆42Apr 26, 2022Updated 4 years ago
- ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Inte…☆4,835Updated this week
- Code for TEDVAE, a VAE-based treatment effect estimation algorithm.☆27Dec 6, 2022Updated 3 years ago
- Causal Inference for the Brave and True. A light-hearted yet rigorous approach to learning about impact estimation and causality.☆3,508Oct 6, 2026Updated 3 weeks ago
- A Python package for modular causal inference analysis and model evaluations☆835May 26, 2026Updated 5 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.
- ☆59Mar 24, 2022Updated 4 years ago
- Code for ICLR 2020 paper: "Estimating counterfactual treatment outcomes over time through adversarially balanced representations" by I. B…☆75Mar 21, 2024Updated 2 years ago
- 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
- A data index for learning causality.☆494Oct 25, 2023Updated 3 years ago
- ☆537Oct 24, 2026Updated last week
- Code for the paper "Causal Transformer for Estimating Counterfactual Outcomes"☆197Aug 13, 2024Updated 2 years ago
- Codes to replicate analysis in Baker & Gelbach (2020)☆11Apr 25, 2020Updated 6 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…☆8,385Updated this week
- Causal Discovery in Python. Learning causality from data.☆1,708Sep 4, 2026Updated last month
- Managed Database hosting by DigitalOcean • AdPostgreSQL, MySQL, MongoDB, Kafka, Valkey, and OpenSearch available. Automatically scale up storage and focus on building your apps.
- A curated list of awesome work on causal inference, particularly in machine learning.☆116May 1, 2021Updated 5 years ago
- Curated research at the intersection of causal inference and natural language processing.☆818Feb 1, 2024Updated 2 years ago
- The open source repository for the Causal Modeling in Machine Learning Workshop at Altdeep.ai @ www.altdeep.ai/courses/causalAI☆817Dec 1, 2025Updated 11 months ago
- ➕➕ Perfect Match is a simple method for learning representations for counterfactual inference with neural networks.☆133Mar 24, 2023Updated 3 years ago
- Implementation of Deep IV: A Flexible Approach for Counterfactual Prediction☆160Jun 17, 2021Updated 5 years ago
- ☆10Aug 5, 2025Updated last year
- Causal Inference for the Brave and True的中文翻译版。全部代码基于Python,适用于计量经济学、量化社会学、策略评估等领域。英文版原作者:Matheus Facure☆968Mar 16, 2026Updated 7 months ago
- ☆41Sep 13, 2025Updated last year
- Code for Conformal Counterfactual Inference under Hidden Confounding (KDD’24)☆11Aug 30, 2024Updated 2 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.
- ☆33Apr 17, 2025Updated last year
- Package for causal inference in graphs and in the pairwise settings. Tools for graph structure recovery and dependencies are included.☆1,243Oct 13, 2025Updated last year
- Code to reproduce the models and analysis in the paper "Leveraging the Alignment between Machine Learning and Intersectionality: Using W…☆17Mar 19, 2021Updated 5 years ago
- Realistic benchmark for different causal inference methods. The realism comes from fitting generative models to data with an assumed caus…☆90Mar 29, 2021Updated 5 years ago
- Causal Effect Inference with Deep Latent-Variable Models☆368Jul 17, 2020Updated 6 years ago
- Code for the WSDM '20 paper, Learning Individual Causal Effects from Networked Observational Data.☆78Jul 8, 2021Updated 5 years ago
- We will keep updating the paper list about machine learning + causal theory. We also internally discuss related papers between NExT++ (NU…☆514Mar 3, 2023Updated 3 years ago