Matthias2193 / APA
Uplift Modeling for Multiple Treatments
☆16Updated 3 years ago
Alternatives and similar repositories for APA:
Users that are interested in APA are comparing it to the libraries listed below
- Multiple Response Uplift (or heterogeneous treatment effects) package that builds and evaluates tradeoffs with multiple treatments and mu…☆66Updated 7 months ago
- Uplift modeling and evaluation library. Actively maintained pypi version.☆75Updated last year
- Lightweight uplift modeling framework for Python☆28Updated 5 years ago
- A python package to train & evaluate Customer Lifetime Value(CLTV) models using Neural Networks & ZILN loss(developed by google)☆27Updated last year
- A causal tree method (Causal Tree Learn (CTL)) for heterogeneous treatment effects in Python☆62Updated last year
- About uplift modeling☆30Updated 8 years ago
- A full example for causal inference on real-world retail data, for elasticity estimation☆50Updated 3 years ago
- ☆16Updated 5 years ago
- Implements the Causal Forest algorithm formulated in Athey and Wager (2018).☆69Updated 4 years ago
- A version of scikit-learn that includes implementations of Wager & Athey and Scott Powers causal forests.☆22Updated 8 years ago
- ☆17Updated 4 years ago
- Causal Simulations for Uplift Modeling☆12Updated 5 years ago
- An attention-based Recurrent Neural Net multi-touch attribution model in a supervised learning fashion of predicting if a series of event…☆32Updated 3 years ago
- (ICML2020) “Counterfactual Cross-Validation: Stable Model Selection Procedure for Causal Inference Models’’☆31Updated 2 years ago
- ☆34Updated 6 years ago
- Code for Shopper, a probabilistic model of shopping baskets☆52Updated 4 years ago
- pytorch implementation of dragonnet☆38Updated 2 years ago
- ☆46Updated 2 years ago
- A Python implementation of "Shapley Value Methods for Attribution Modeling in Online Advertising" by Zhao, et al.☆39Updated 4 years ago
- EconML/CausalML KDD 2021 Tutorial☆161Updated last year
- Uncovering User Interest from Biased and Noised Watch Time in Video Recommendation. In Recsys23.☆10Updated last year
- ☆40Updated 3 years ago
- Code and notebooks for my Medium blog posts☆118Updated last year
- 💉📈 Dose response networks (DRNets) are a method for learning to estimate individual dose-response curves for multiple parametric treatm…☆87Updated 2 years ago
- ☆21Updated 3 years ago
- Source code for our paper "Pessimistic Decision-Making for Recommender Systems" published at ACM TORS, and RecSys 2021.☆10Updated 2 years ago
- Predicting the Likelihood to Purchase a Financial Product Following a Direct Marketing Campaign☆27Updated 2 years ago
- The Identification and Estimation of Direct and Indirect Effects in A/B Tests through Causal Mediation Analysis☆23Updated 2 years ago
- Code associated with paper: Plug-in Regularized Estimation of High-Dimensional Parameters in Nonlinear Semiparametric Models, Chernozhuk…☆15Updated 4 years ago
- An implementation of our CIKM 2018 paper "Deep Conversion Attribution with Dual-attention Recurrent Neural Network"☆61Updated 5 years ago