Counterfactual Regression
☆319Dec 7, 2022Updated 3 years ago
Alternatives and similar repositories for cfrnet
Users that are interested in cfrnet are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Causal Effect Inference with Deep Latent-Variable Models☆357Jul 17, 2020Updated 5 years ago
- ➕➕ Perfect Match is a simple method for learning representations for counterfactual inference with neural networks.☆131Mar 24, 2023Updated 3 years ago
- (ICML2020) “Counterfactual Cross-Validation: Stable Model Selection Procedure for Causal Inference Models’’☆31Mar 24, 2023Updated 3 years ago
- Counterfactual Regression☆25Jul 12, 2016Updated 9 years ago
- Implementation of Johansson, Fredrik D., Shalit, Uri, and Sontag, David. Learning representations for counterfactual inference - ICML, 20…☆12Sep 30, 2020Updated 5 years ago
- Wordpress hosting with auto-scaling - Free Trial • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- ☆293Apr 3, 2022Updated 4 years ago
- Codebase for GANITE: Estimation of Individualized Treatment Effects using GANs - ICLR 2018☆71Apr 25, 2020Updated 5 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
- Reproducing Shalit et al.'s Individual Treatment Effect model. This is a deep neural net that can be applied to various problems in causa…☆19May 22, 2022Updated 3 years ago
- Non-parametrics for Causal Inference☆50Mar 17, 2022Updated 4 years ago
- ☆24Oct 20, 2025Updated 5 months ago
- Implementation of Deep IV: A Flexible Approach for Counterfactual Prediction☆161Jun 17, 2021Updated 4 years ago
- Sklearn-style implementations of Neural Network-based Conditional Average Treatment Effect (CATE) Estimators.☆156Jun 22, 2024Updated last year
- An index of algorithms for learning causality with data☆3,252Jan 22, 2025Updated last year
- Managed Database hosting by DigitalOcean • AdPostgreSQL, MySQL, MongoDB, Kafka, Valkey, and OpenSearch available. Automatically scale up storage and focus on building your apps.
- Repository for Deep Structural Causal Models for Tractable Counterfactual Inference☆297Jul 6, 2023Updated 2 years ago
- pytorch implementation of dragonnet☆47Sep 29, 2022Updated 3 years ago
- Code for the WSDM '20 paper, Learning Individual Causal Effects from Networked Observational Data.☆78Jul 8, 2021Updated 4 years ago
- A data index for learning causality.☆487Oct 25, 2023Updated 2 years ago
- Uplift modeling and causal inference with machine learning algorithms☆5,796Mar 21, 2026Updated 3 weeks ago
- Causal Effect Inference for Structured Treatments (SIN) (NeurIPS 2021)☆42Apr 26, 2022Updated 3 years ago
- Implementation of paper Long-Term Effect Estimation with Surrogate Representation☆14Oct 20, 2020Updated 5 years ago
- ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Inte…☆4,581Apr 6, 2026Updated last week
- DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a uni…☆8,058Updated this week
- AI Agents on DigitalOcean Gradient AI Platform • AdBuild production-ready AI agents using customizable tools or access multiple LLMs through a single endpoint. Create custom knowledge bases or connect external data.
- Generalized Random Forests☆1,081Mar 4, 2026Updated last month
- Machine Learning and Artificial Intelligence for Medicine.☆462Feb 27, 2023Updated 3 years ago
- Implementation of paper DESCN, which is accepted in SIGKDD 2022.☆111Dec 27, 2023Updated 2 years ago
- CRAN Task View: Causal Inference☆20Mar 4, 2026Updated last month
- Code for Estimating Multi-cause Treatment Effects via Single-cause Perturbation (NeurIPS 2021)☆14Jan 5, 2022Updated 4 years ago
- Code for TEDVAE, a VAE-based treatment effect estimation algorithm.☆26Dec 6, 2022Updated 3 years ago
- Code for ICLR 2020 paper: "Estimating counterfactual treatment outcomes over time through adversarially balanced representations" by I. B…☆71Mar 21, 2024Updated 2 years ago
- ☆64May 2, 2024Updated last year
- The source code of our DCB algorithm in KDD17 paper: Estimating Treatment Effect in the Wild via Differentiated Confounder Balancing☆10Jun 25, 2018Updated 7 years ago
- Wordpress hosting with auto-scaling - Free Trial • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- Causal Inference☆11May 25, 2020Updated 5 years ago
- Code for NeurIPS 2020 paper: "Estimating the Effects of Continuous-valued Interventions using Generative Adversarial Networks" by I. Bica…☆30Jan 8, 2021Updated 5 years ago
- Uplifted Contextual Multi-Armed Bandit☆19May 4, 2022Updated 3 years ago
- Working repository for Causal Tree and extensions☆450Apr 12, 2025Updated last year
- Quasi-Oracle Estimation of Heterogeneous Treatment Effects☆122Apr 10, 2021Updated 5 years ago
- A Python package for modular causal inference analysis and model evaluations☆813Apr 6, 2025Updated last year
- ☆26Feb 16, 2022Updated 4 years ago