➕➕ Perfect Match is a simple method for learning representations for counterfactual inference with neural networks.
☆132Mar 24, 2023Updated 3 years ago
Alternatives and similar repositories for perfect_match
Users that are interested in perfect_match are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- ☆59Mar 24, 2022Updated 4 years ago
- Causal Effect Inference with Deep Latent-Variable Models☆369Jul 17, 2020Updated 6 years ago
- Codebase for GANITE: Estimation of Individualized Treatment Effects using GANs - ICLR 2018☆71Apr 25, 2020Updated 6 years ago
- ☆298Apr 3, 2022Updated 4 years ago
- Code for Estimating Multi-cause Treatment Effects via Single-cause Perturbation (NeurIPS 2021)☆14Jan 5, 2022Updated 4 years ago
- Serverless GPU API endpoints on Runpod - Get Bonus Credits • AdSkip the infrastructure headaches. Auto-scaling, pay-as-you-go, no-ops approach lets you focus on innovating your application.
- Counterfactual Regression☆25Jul 12, 2016Updated 10 years ago
- ☆25Oct 20, 2025Updated 9 months ago
- Code for paper "Estimating Causal Effects on Networked Observational Data via Representation Learning"☆20May 28, 2023Updated 3 years ago
- [ICLR 2021] Code for: Varying Coefficient Neural Network with Functional Targeted Regularization for Estimating Continuous Treatment Effe…☆98Sep 11, 2022Updated 3 years ago
- ☆26Feb 16, 2022Updated 4 years ago
- Causal Inference☆11May 25, 2020Updated 6 years ago
- Causal Effect Inference for Structured Treatments (SIN) (NeurIPS 2021)☆42Apr 26, 2022Updated 4 years ago
- (ICML2020) “Counterfactual Cross-Validation: Stable Model Selection Procedure for Causal Inference Models’’☆31Mar 24, 2023Updated 3 years ago
- Implementation of Deep IV: A Flexible Approach for Counterfactual Prediction☆160Jun 17, 2021Updated 5 years 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.
- An index of algorithms for learning causality with data☆3,271Jan 22, 2025Updated last year
- ☆40Dec 11, 2018Updated 7 years ago
- A version of scikit-learn that includes implementations of Wager & Athey and Scott Powers causal forests.☆22Nov 9, 2016Updated 9 years ago
- A data index for learning causality.☆492Oct 25, 2023Updated 2 years ago
- ☆14Jul 5, 2023Updated 3 years ago
- ☆32Jul 8, 2018Updated 8 years ago
- Implementation of paper DESCN, which is accepted in SIGKDD 2022.☆117Dec 27, 2023Updated 2 years ago
- Sklearn-style implementations of Neural Network-based Conditional Average Treatment Effect (CATE) Estimators.☆158Jun 22, 2024Updated 2 years ago
- Repository for Deep Structural Causal Models for Tractable Counterfactual Inference☆298Jul 6, 2023Updated 3 years 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.
- Implementation of Johansson, Fredrik D., Shalit, Uri, and Sontag, David. Learning representations for counterfactual inference - ICML, 20…☆12Sep 30, 2020Updated 5 years ago
- ☆11Nov 11, 2016Updated 9 years ago
- Code for the WSDM '20 paper, Learning Individual Causal Effects from Networked Observational Data.☆78Jul 8, 2021Updated 5 years ago
- This repository collects recent top papers about causal inference for recommendation. We will keep updating the paper list weekly.☆16May 3, 2022Updated 4 years ago
- A causal tree method (Causal Tree Learn (CTL)) for heterogeneous treatment effects in Python☆67Mar 7, 2024Updated 2 years ago
- ☆44Feb 11, 2019Updated 7 years ago
- Quasi-Oracle Estimation of Heterogeneous Treatment Effects☆124Apr 10, 2021Updated 5 years ago
- ☆30Nov 15, 2018Updated 7 years ago
- Causal Simulations for Uplift Modeling☆12Jan 22, 2020Updated 6 years ago
- Deploy open-source AI quickly and easily - Special Bonus Offer • AdRunpod Hub is built for open source. One-click deployment and autoscaling endpoints without provisioning your own infrastructure.
- Multiple Response Uplift (or heterogeneous treatment effects) package that builds and evaluates tradeoffs with multiple treatments and mu…☆71Apr 26, 2025Updated last year
- Implementation of paper Long-Term Effect Estimation with Surrogate Representation☆13Oct 20, 2020Updated 5 years ago
- CausalLift: Python package for causality-based Uplift Modeling in real-world business☆356Apr 15, 2026Updated 3 months ago
- The code for the paper *The Sensitivity of Counterfactual Fairness to Unmeasured Confounding* @ UAI 2019☆14Apr 4, 2020Updated 6 years ago
- A Python package for modular causal inference analysis and model evaluations☆831May 26, 2026Updated last month
- Uplifted Contextual Multi-Armed Bandit☆19May 4, 2022Updated 4 years ago
- PyTorch code to run synthetic experiments.☆437Sep 8, 2021Updated 4 years ago