ArthurLeroy / MagmaClustR
Clustering and Predictions with Multi-Task Gaussian Processes
β12Updated 2 months ago
Related projects: β
- Sorted L1 Penalized Estimationβ17Updated last week
- π― Targeted Learning of the Causal Effects of Stochastic Interventionsβ15Updated last year
- Numerical experiments for nested cross-validation paperβ11Updated 2 years ago
- Multi-Calibration & Multi-Accuracy Boosting for Rβ30Updated last week
- Conformal prediction in Rβ31Updated 5 years ago
- R Implementation of FLAME, DAME, and other algorithms in the AME frameworkβ12Updated last year
- A library for solving POMDPsβ9Updated 2 months ago
- causaleffect: R package for identifying causal effects.β29Updated last year
- Code to implement the network histogram (Olhede and Wolfe, arXiv:1312.5306)β11Updated 9 years ago
- Diverse and generative ML benchmarksβ14Updated 2 years ago
- Data for and description of the ACIC 2023 data competitionβ32Updated last year
- PlackettLuce package for Plackett-Luce models in Rβ18Updated last year
- Model-based clustering package for mixed dataβ12Updated 4 months ago
- Fast computation of some matrices useful in statisticsβ19Updated 7 months ago
- An Interface to Specify Causal Graphs and Compute Balke Boundsβ15Updated 3 weeks ago
- Conformal Time Series Forecasting Using State of Art Machine Learning Algorithmsβ24Updated last year
- A curated list of awesome Bayesian statistics blogs and resourcesβ20Updated 10 months ago
- Repository for the familiar R-package. Familiar implements an end-to-end pipeline for interpretable machine learning of tabular data.β30Updated 3 weeks ago
- Perform inference on algorithm-agnostic variable importance in Pythonβ20Updated 2 years ago
- β14Updated 2 years ago
- Tools for causal discovery in Rβ18Updated 3 months ago
- Perform inference on algorithm-agnostic variable importanceβ21Updated 9 months ago
- π― π― Targeted Learning and Variable Importance for the Causal Effect of an Optimal Individualized Treatment Interventionβ10Updated 2 years ago
- intro to MLβ28Updated 2 weeks ago
- Interpretable and model-robust causal inference for heterogeneous treatment effects using generalized linear working models with targetedβ¦β22Updated 2 years ago
- β30Updated last year
- R functions for project setup, data cleaning, machine learning, SuperLearner, parallelization, and targeted learning.β18Updated last month
- R package cfcausalβ25Updated last year
- Regularization Paths for Huber Loss Regression and Quantile Regression Penalized by Lasso or Elastic-Netβ9Updated 3 months ago
- β27Updated 3 years ago