EddieYang211 / ebal-py
Python implementation of Entropy Balancing for binary and continuous treatment
☆18Updated 3 years ago
Related projects ⓘ
Alternatives and complementary repositories for ebal-py
- Causality with machine learning, topic including causal represenation learning, causal reinforcement learning☆11Updated 3 years ago
- Code for Colangelo and Lee (2022)☆11Updated 5 months ago
- Code to run submissions for the Atlantic Causal Inference Competition☆42Updated 3 months ago
- ☆42Updated 3 years ago
- Sklearn-style implementations of Neural Network-based Conditional Average Treatment Effect (CATE) Estimators.☆128Updated 5 months ago
- ☆14Updated last year
- Replication files for Chernozhukov, Newey, Quintas-Martínez and Syrgkanis (2021) "RieszNet and ForestRiesz: Automatic Debiased Machine Le…☆13Updated 2 years ago
- Data for and description of the ACIC 2023 data competition☆32Updated last year
- Multiple Response Uplift (or heterogeneous treatment effects) package that builds and evaluates tradeoffs with multiple treatments and mu…☆66Updated 3 months ago
- Non-parametrics for Causal Inference☆43Updated 2 years ago
- 💉📈 Dose response networks (DRNets) are a method for learning to estimate individual dose-response curves for multiple parametric treatm…☆84Updated last year
- [ICLR 2021] Code for: Varying Coefficient Neural Network with Functional Targeted Regularization for Estimating Continuous Treatment Effe…☆69Updated 2 years ago
- Materials Collection for Causal Inference☆40Updated last year
- ☆13Updated 11 months ago
- Documentation and User Guide for DoubleML - Double Machine Learning in Python & R☆21Updated this week
- Implements the Causal Forest algorithm formulated in Athey and Wager (2018).☆65Updated 4 years ago
- Codebase for GANITE: Estimation of Individualized Treatment Effects using GANs - ICLR 2018☆54Updated 4 years ago
- R and python implementations of Accelerated Bayesian Causal Forest.☆25Updated 4 months ago
- A curated list of awesome work on causal inference, particularly in machine learning.☆96Updated 3 years ago
- Policy learning via doubly robust empirical welfare maximization over trees☆77Updated 5 months ago
- EconML/CausalML KDD 2021 Tutorial☆162Updated last year
- A causal tree method (Causal Tree Learn (CTL)) for heterogeneous treatment effects in Python☆62Updated 8 months ago
- CSDID☆23Updated last week
- Distributional Random Forests (Cevid et al., 2020)☆38Updated last year
- ☆22Updated 2 years ago
- ☆92Updated 10 months ago
- Synthetic difference in differences for Python☆66Updated 7 months ago
- ☆12Updated 5 months ago
- The pygformula implements the parametric g-formula in Python. The parametric g-formula (Robins, 1986) uses longitudinal data with time-va…☆20Updated last week