zzzace2000 / GAMs
Multiple Generalized Additive Models implemented in Python (EBM, XGB, Spline, FLAM). Code for our KDD 2021 paper "How Interpretable and Trustworthy are GAMs?" https://arxiv.org/abs/2006.06466
☆12Updated 3 years ago
Alternatives and similar repositories for GAMs:
Users that are interested in GAMs are comparing it to the libraries listed below
- A straightforward implementation of EGBM-based Generalized Additive Model☆13Updated 4 years ago
- The code of AAAI 2020 paper "Transparent Classification with Multilayer Logical Perceptrons and Random Binarization".☆23Updated 11 months ago
- Code for "NODE-GAM: Neural Generalized Additive Model for Interpretable Deep Learning"☆43Updated 2 years ago
- ☆16Updated 2 years ago
- ☆25Updated 9 months ago
- For calculating Shapley values via linear regression.☆67Updated 3 years ago
- Official Implementation of "Doubly Mixed-Effects Gaussian Process Regression" (Jun Ho Yoon, Daniel P. Jeong, Seyoung Kim) (AISTATS 2022, …☆12Updated 2 years ago
- ☆18Updated last year
- Influence Estimation for Gradient-Boosted Decision Trees☆26Updated 8 months ago
- ☆59Updated 3 years ago
- Fast and incremental explanations for online machine learning models. Works best with the river framework.☆53Updated last month
- Continuous-Time Modeling of Counterfactual Outcomes Using Neural Controlled Differential Equations (ICML 2022)☆27Updated 2 years ago
- ☆10Updated 4 years ago
- Causal Effect Inference for Structured Treatments (SIN) (NeurIPS 2021)☆42Updated 2 years ago
- Beta Shapley: a Unified and Noise-reduced Data Valuation Framework for Machine Learning (AISTATS 2022 Oral)☆40Updated 2 years ago
- Uncertainty-aware classification.☆16Updated 2 years ago
- Conformal Histogram Regression: efficient conformity scores for non-parametric regression problems☆21Updated 2 years ago
- ☆15Updated 3 years ago
- Adaptive Conformal Prediction Intervals (ACPI) is a Python package that enhances the Predictive Intervals provided by the split conformal…☆27Updated last year
- 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
- Implementation for Stankevičiūtė et al. "Conformal time-series forecasting", NeurIPS 2021.☆71Updated 3 months ago
- Distributional Gradient Boosting Machines☆27Updated 2 years ago
- Code for Stop&Hop, a method for learning to classify irregularly-sampled time series early☆17Updated 4 months ago
- ☆37Updated 6 years ago
- Source code for the ACML 2019 paper "Functional Isolation Forest".☆21Updated 2 years ago
- Codebase for "Clairvoyance: a Unified, End-to-End AutoML Pipeline for Medical Time Series"☆13Updated 4 years ago
- Resources and environment for unsupervised outlier model selection (UOMS)☆23Updated 2 years ago
- Implementations of methods proposed in the paper "Conformal Prediction Sets for Graph Neural Networks"☆13Updated last year
- Codebase for INVASE: Instance-wise Variable Selection - 2019 ICLR☆60Updated 4 years ago
- Codebase for "Discriminative Jackknife: Quantifying Uncertainty in Deep Learning via Higher-Order Influence Functions", ICML 2020.☆8Updated 4 years ago