yandex-research / GBDT-uncertainty
☆57Updated 11 months ago
Alternatives and similar repositories for GBDT-uncertainty:
Users that are interested in GBDT-uncertainty are comparing it to the libraries listed below
- Revisiting Pretrarining Objectives for Tabular Deep Learning☆63Updated 2 years ago
- Repository for code release of paper "Robust Variational Autoencoders for Outlier Detection and Repair of Mixed-Type Data" (AISTATS 2020)☆50Updated 5 years ago
- A lightweight implementation of removal-based explanations for ML models.☆59Updated 3 years ago
- Fast implementation of Venn-ABERS probabilistic predictors☆72Updated last year
- A repo for transfer learning with deep tabular models☆102Updated 2 years ago
- Code for "NODE-GAM: Neural Generalized Additive Model for Interpretable Deep Learning"☆45Updated 2 years ago
- Batch shap calculations.☆30Updated 2 years ago
- A practical Active Learning python package with a strong focus on experiments.☆51Updated 2 years ago
- Conformal Histogram Regression: efficient conformity scores for non-parametric regression problems☆22Updated 3 years ago
- Influence Estimation for Gradient-Boosted Decision Trees☆27Updated 10 months ago
- Neural Additive Models (Google Research)☆27Updated 11 months ago
- Uncertainty Estimation Using Deep Neural Network and Gradient Boosting Methods☆22Updated 3 years ago
- [NeurIPS 2021] Well-tuned Simple Nets Excel on Tabular Datasets☆84Updated 2 years ago
- Pacmed Labs experiments on uncertainty estimation, focusing on unbalanced tabular data and classification tasks.☆21Updated 3 years ago
- Neural Additive Models (Google Research)☆69Updated 3 years ago
- ☆201Updated 3 years ago
- Adaptive and Reliable Classification: efficient conformity scores for multi-class classification problems☆31Updated 2 years ago
- Python library for classifier calibration☆17Updated 11 months ago
- TabReD: Analyzing Pitfalls and Filling the Gaps in Tabular Deep Learning Benchmarks☆68Updated 2 weeks ago
- Bayesianize: A Bayesian neural network wrapper in pytorch☆88Updated 11 months ago
- A library for uncertainty quantification based on PyTorch☆123Updated 3 years ago
- A Python package which implements several boosting algorithms with different combinations of base learners, optimization algorithms, and …☆63Updated 3 years ago
- ☆29Updated 6 years ago
- A collection of algorithms of counterfactual explanations.☆50Updated 4 years ago
- Random Forest or XGBoost? It is Time to Explore LCE☆66Updated last year
- Codebase for VIME: Extending the Success of Self- and Semi-supervised Learning to Tabular Domain - NeurIPS 2020☆148Updated 4 years ago
- scikit-learn gradient-boosting-model interactions☆25Updated last year
- Reusable BatchBALD implementation☆79Updated last year
- WeightedSHAP: analyzing and improving Shapley based feature attributions (NeurIPS 2022)☆160Updated 2 years ago
- Library for Bayesian Neural Networks in PyTorch (first version as published in ProbProg2020)☆42Updated 3 years ago