ZebinYang / gaminet
Generalized additive model with pairwise interactions
☆66Updated last year
Alternatives and similar repositories for gaminet:
Users that are interested in gaminet are comparing it to the libraries listed below
- This repository captures source code and data sets for our paper at the Causal Discovery & Causality-Inspired Machine Learning Workshop a…☆59Updated 8 months ago
- Bayesian time series forecasting and decision analysis☆115Updated last year
- A Python package which implements several boosting algorithms with different combinations of base learners, optimization algorithms, and …☆63Updated 3 years ago
- Official code for: Conformal prediction interval for dynamic time-series (conference, ICML 21 Long Presentation) AND Conformal prediction…☆114Updated last year
- [ NeurIPS 2023 ] Official Codebase for "Conformal Meta-learners for Predictive Inference of Individual Treatment Effects"☆44Updated last year
- A regression solver for high dimensional penalized linear, quantile and logistic regression models'☆85Updated 6 months ago
- An open-source package of causal feature selection and causal (Bayesian network) structure learning (C/C++ version)☆59Updated 4 years ago
- [Experimental] Global causal discovery algorithms☆99Updated last month
- Code for "NODE-GAM: Neural Generalized Additive Model for Interpretable Deep Learning"☆45Updated 2 years ago
- Conformalized Quantile Regression☆270Updated 3 years ago
- ☆18Updated 2 years ago
- (Conditional) Independence testing & Markov blanket feature selection using k-NN mutual information and conditional mutual information es…☆29Updated 4 years ago
- Probabilistic prediction with XGBoost.☆107Updated 3 weeks ago
- Implementation for Stankevičiūtė et al. "Conformal time-series forecasting", NeurIPS 2021.☆74Updated 5 months ago
- Distributional Gradient Boosting Machines☆26Updated 2 years ago
- GAMI-Net: Generalized Additive Models with Structured Interactions☆31Updated 2 years ago
- pyCausalFS：A Python Library of Causality-based Feature Selection for Causal Structure Learning and Classification☆69Updated 4 years ago
- Adaptive Conformal Prediction Intervals (ACPI) is a Python package that enhances the Predictive Intervals provided by the split conformal…☆28Updated 2 years ago
- Fast implementation of Venn-ABERS probabilistic predictors☆72Updated last year
- [NeurIPS 2021] Well-tuned Simple Nets Excel on Tabular Datasets☆84Updated 2 years ago
- TIme series DiscoverY BENCHmark (tidybench)☆37Updated last year
- This repository contains the experiments related with a new baseline model that can be used in forecasting weekly time series. This model…☆47Updated 3 years ago
- An extension of CatBoost to probabilistic modelling☆143Updated last year
- Implementation of "DAGs with NO TEARS: Smooth Optimization for Structure Learning", by Zheng et al. (2018)☆50Updated 6 years ago
- Contains the code to run the different models considered in the paper "Valid prediction intervals for regression problems"☆19Updated 2 years ago
- Code for ICML 2020 paper: "Time Series Deconfounder: Estimating Treatment Effects over Time in the Presence of Hidden Confounders" by I. …☆52Updated 4 years ago
- A Library for Conformal Hyperparameter Tuning☆29Updated this week
- Active Bayesian Causal Inference (Neurips'22)☆54Updated 8 months ago
- Conformal prediction for time-series applications.☆112Updated last year
- Example causal datasets with consistent formatting and ground truth☆82Updated last year