junyzhou10 / MetaLearnersLinks
The package is developed for treatment recommendation & pairwise treatment individual effect estimation (ITE/CATE/HTE) when multiple treatment/intervention options exist. The package is still under development.
☆11Updated 2 years ago
Alternatives and similar repositories for MetaLearners
Users that are interested in MetaLearners are comparing it to the libraries listed below
Sorting:
- Making survival analysis work in TensorFlow☆19Updated 8 years ago
- Nested cross-validation for accurate confidence intervals for prediction error.☆41Updated 3 years ago
- The holdout randomization test: feature selection using black box predictive models☆21Updated 4 years ago
- Perform inference on algorithm-agnostic variable importance☆24Updated 2 weeks ago
- Seminar on Limitations of Interpretable Machine Learning Methods☆57Updated 4 years ago
- Approximate knockoffs and model-free variable selection.☆55Updated 3 years ago
- Minimax Estimation of Conditional Moment Models☆30Updated 2 years ago
- Predicting treatment effects from RCTs (Circulation: CQO 2019).☆10Updated 3 years ago
- 🎯 💯 Targeted Learning and Variable Importance for the Causal Effect of an Optimal Individualized Treatment Intervention☆13Updated 3 years ago
- Methods for subgroup identification / personalized medicine / individualized treatment rules☆32Updated 2 years ago
- This Python package implements algorithms for multiviews (multimodals) learning☆14Updated 10 months ago
- (Python, R, C) Poisson matrix factorization (non-Bayesian version) (recommender systems)☆46Updated 2 months ago
- Python package for the creation, manipulation, and learning of Causal DAGs☆152Updated 2 years ago
- Code to reproduce the numerical experiments in the paper Domain adaptation under structural causal models by Yuansi Chen and Peter Bühlma…☆18Updated 4 years ago
- An Interface to Specify Causal Graphs and Compute Balke Bounds☆22Updated 5 months ago
- ☆10Updated 4 years ago
- ☆24Updated 3 years ago
- General Latent Feature Modeling for Heterogeneous data☆49Updated last year
- Lag Penalized Weighted Correlation for Time Series Clustering☆21Updated 5 years ago
- Network inference by fusing data from diverse distributions☆14Updated 8 years ago
- Conformal prediction in R☆32Updated 6 years ago
- Software for learning sparse Bayesian networks☆43Updated 4 years ago
- Uses several statistical tests / algorithms on marginal / conditional distributions☆8Updated 2 years ago
- 🎯 Targeted Learning of the Causal Effects of Stochastic Interventions☆17Updated 10 months ago
- Assessing Disparate Impacts of Personalized Interventions: Identifiability and Bounds☆12Updated 5 years ago
- R Package With Shiny App to Perform and Visualize Clustering of Count Data via Mixtures of Multivariate Poisson-log Normal Model☆16Updated 10 months ago
- stand alone Neural Additive Models, forked from google-reasearch for easy import to colab☆28Updated 4 years ago
- Code to pair with the paper "Effective Ways to Build and Evaluate Individual Survival Distributions".☆23Updated 3 years ago
- Implementation of algorithms from the paper "Globally-Consistent Rule-Based Summary-Explanations for Machine Learning Models: Application…☆25Updated 3 years ago
- Multi-Calibration & Multi-Accuracy Boosting for R☆32Updated 2 weeks ago