ZebinYang / exnnLinks
Enhanced Explainable Neural Network
☆10Updated 3 years ago
Alternatives and similar repositories for exnn
Users that are interested in exnn are comparing it to the libraries listed below
Sorting:
- Multiple Generalized Additive Models implemented in Python (EBM, XGB, Spline, FLAM). Code for our KDD 2021 paper "How Interpretable and T…☆12Updated 3 years ago
- ☆8Updated last year
- Code for "Particle algorithms for maximum likelihood training of latent variable models" (Kuntz, Lim, Johansen, AISTATS, 2023).☆9Updated 2 years ago
- Generalized additive model with pairwise interactions☆66Updated last year
- Repository for Beyond Pinball Loss: Quantile Methods for Calibrated Uncertainty Quantification (NeurIPS 2024)☆43Updated 7 months ago
- Official Implementation of "Doubly Mixed-Effects Gaussian Process Regression" (Jun Ho Yoon, Daniel P. Jeong, Seyoung Kim) (AISTATS 2022, …☆12Updated 3 years ago
- Codebase for "Discriminative Jackknife: Quantifying Uncertainty in Deep Learning via Higher-Order Influence Functions", ICML 2020.☆9Updated 4 years ago
- ☆14Updated 6 years ago
- Conformal Histogram Regression: efficient conformity scores for non-parametric regression problems☆22Updated 3 years ago
- A straightforward implementation of EGBM-based Generalized Additive Model☆13Updated 4 years ago
- Code accompanying our ICML 2020 paper on choice set optimization in group decision-making.☆11Updated 5 years ago
- Code for "NODE-GAM: Neural Generalized Additive Model for Interpretable Deep Learning"☆47Updated 2 years ago
- ☆9Updated 4 years ago
- A community repository for benchmarking Bayesian methods☆11Updated 2 years ago
- ☆10Updated 3 years ago
- Influence Estimation for Gradient-Boosted Decision Trees☆29Updated last year
- ☆10Updated 3 years ago
- Approximate Computation via Odds Ratio Estimation in Likelihood Free Inference☆8Updated 2 years ago
- Conditional calibration of conformal p-values for outlier detection.☆36Updated 2 years ago
- The code of AAAI 2020 paper "Transparent Classification with Multilayer Logical Perceptrons and Random Binarization".☆24Updated last year
- ☆40Updated 6 years ago
- Implementation of the Gaussian processes regression with inducing points for online data with ensemble Kalman filter estimation. Code for…☆17Updated 7 years ago
- Software package for intertemporal pricing optimization under reference effects and consumer heterogeneity estimation. Please see REAMDE.…☆10Updated last year
- Code for paper "Copula-based conformal prediction for Multi-Target Regression"☆34Updated 4 years ago
- Implementation for Stankevičiūtė et al. "Conformal time-series forecasting", NeurIPS 2021.☆74Updated 8 months ago
- This repository captures source code and data sets for our paper at the Causal Discovery & Causality-Inspired Machine Learning Workshop a…☆62Updated 11 months ago
- Orthogonal Quantile Regression☆11Updated 3 years ago
- Classifier Conditional Independence Test: A CI test that uses a binary classifier (XGBoost) for CI testing☆45Updated 2 years ago
- Uncertainty Quantification for Deep Spatiotemporal Forecasting☆23Updated 10 months ago
- "TSEvo: Counterfactuals for Time Series Classification" accepted at ICMLA '22.☆14Updated 2 years ago