claudiashi57 / dragonnetLinks
☆287Updated 3 years ago
Alternatives and similar repositories for dragonnet
Users that are interested in dragonnet are comparing it to the libraries listed below
Sorting:
- Counterfactual Regression☆317Updated 3 years ago
- Sklearn-style implementations of Neural Network-based Conditional Average Treatment Effect (CATE) Estimators.☆153Updated last year
- 💉📈 Dose response networks (DRNets) are a method for learning to estimate individual dose-response curves for multiple parametric treatm…☆93Updated 2 years ago
- ➕➕ Perfect Match is a simple method for learning representations for counterfactual inference with neural networks.☆131Updated 2 years ago
- ☆59Updated 3 years ago
- [ICLR 2021] Code for: Varying Coefficient Neural Network with Functional Targeted Regularization for Estimating Continuous Treatment Effe…☆93Updated 3 years ago
- Causal Effect Inference with Deep Latent-Variable Models☆354Updated 5 years ago
- Code for "Learning End-to-End Patient Representations through Self-Supervised Covariate Balancing for Causal Treatment Effect Estimation"☆24Updated 2 years ago
- Counterfactual Regression☆25Updated 9 years ago
- pytorch implementation of dragonnet☆46Updated 3 years ago
- Extensive tutorials for learning how to build deep learning models for causal inference (HTE) using selection on observables in Tensorflo…☆340Updated last year
- Codebase for GANITE: Estimation of Individualized Treatment Effects using GANs - ICLR 2018☆66Updated 5 years ago
- A causal tree method (Causal Tree Learn (CTL)) for heterogeneous treatment effects in Python☆67Updated last year
- A data index for learning causality.☆479Updated 2 years ago
- Data derived from the Linked Births and Deaths Data (LBIDD); simulated pairs of treatment assignment and outcomes; scoring code☆84Updated 7 years ago
- BITES: Balanced Individual Treatment Effect for Survival data☆18Updated 2 years ago
- Must-read papers and resources related to causal inference and machine (deep) learning☆746Updated 3 years ago
- DAGs with NO TEARS: Continuous Optimization for Structure Learning☆665Updated last year
- ☆36Updated 3 months ago
- EconML/CausalML KDD 2021 Tutorial☆167Updated 2 years ago
- Implementation of paper DESCN, which is accepted in SIGKDD 2022.☆103Updated 2 years ago
- Implementation of Deep IV: A Flexible Approach for Counterfactual Prediction☆161Updated 4 years ago
- ☆23Updated 2 months ago
- Multiple Response Uplift (or heterogeneous treatment effects) package that builds and evaluates tradeoffs with multiple treatments and mu…☆72Updated 8 months ago
- ☆45Updated 6 years ago
- ☆205Updated 2 years ago
- Package for causal inference in graphs and in the pairwise settings. Tools for graph structure recovery and dependencies are included.☆1,212Updated 2 months ago
- Repository with code and slides for a tutorial on causal inference.☆583Updated 6 years ago
- Implements the Causal Forest algorithm formulated in Athey and Wager (2018).☆70Updated 5 years ago
- ☆24Updated 4 years ago