Sklearn-style implementations of Neural Network-based Conditional Average Treatment Effect (CATE) Estimators.
☆157Jun 22, 2024Updated last year
Alternatives and similar repositories for CATENets
Users that are interested in CATENets are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- SurvITE: Learning Heterogeneous Treatment Effects from Time-to-Event Data☆20Oct 25, 2021Updated 4 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
- Code for TEDVAE, a VAE-based treatment effect estimation algorithm.☆26Dec 6, 2022Updated 3 years ago
- Causal inference is a critical task in various fields such as healthcare,economics, marketing and education. Recently, there have beensig…☆21Oct 29, 2021Updated 4 years ago
- ☆296Apr 3, 2022Updated 4 years ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- Realistic benchmark for different causal inference methods. The realism comes from fitting generative models to data with an assumed caus…☆87Mar 29, 2021Updated 5 years ago
- A Python package for modular causal inference analysis and model evaluations☆812Apr 6, 2025Updated last year
- Machine Learning and Artificial Intelligence for Medicine.☆465Feb 27, 2023Updated 3 years ago
- Uplifted Contextual Multi-Armed Bandit