jjbrophy47 / ibugLinks
Instance-based uncertainty estimation for gradient-boosted regression trees
☆31Updated 11 months ago
Alternatives and similar repositories for ibug
Users that are interested in ibug are comparing it to the libraries listed below
Sorting:
- Distributional Gradient Boosting Machines☆27Updated 2 years ago
- An extension of Py-Boost to probabilistic modelling☆23Updated 2 years ago
- [NeurIPS 2021] Well-tuned Simple Nets Excel on Tabular Datasets☆86Updated 2 years ago
- TabDPT: Scaling Tabular Foundation Models☆30Updated 2 months ago
- Probabilistic prediction with XGBoost.☆110Updated 3 months ago
- (ICLR 2025 Spotlight) TabReD: Analyzing Pitfalls and Filling the Gaps in Tabular Deep Learning Benchmarks☆75Updated 3 weeks ago
- Tabular In-Context Learning☆74Updated 3 months ago
- Code for "NODE-GAM: Neural Generalized Additive Model for Interpretable Deep Learning"☆47Updated 2 years ago
- Training and evaluating NBM and SPAM for interpretable machine learning.☆78Updated 2 years ago
- (ICLR 2024) GRANDE: Gradient-Based Decision Tree Ensembles☆91Updated 3 months ago
- Influence Estimation for Gradient-Boosted Decision Trees☆27Updated last year
- SSCP: Improving Adaptive Conformal Prediction Using Self-supervised Learning (AISTATS 2023)☆17Updated 2 years ago
- Probabilistic Gradient Boosting Machines☆155Updated last year
- ☆18Updated 2 years ago
- Revisiting Pretrarining Objectives for Tabular Deep Learning☆63Updated 2 years ago
- For calculating Shapley values via linear regression.☆68Updated 4 years ago
- Batch shap calculations.☆31Updated 2 years ago
- A repo for transfer learning with deep tabular models☆104Updated 2 years ago
- ☆46Updated 10 months ago
- Methods for online conformal prediction.☆114Updated last month
- Easy Custom Losses for Tree Boosters using Pytorch☆34Updated 4 years ago
- ☆109Updated 2 years ago
- WeightedSHAP: analyzing and improving Shapley based feature attributions (NeurIPS 2022)☆160Updated 2 years ago
- Ensemble-based, size-agnostic wrapper for the TabPFN classifier☆32Updated last year
- [ICLR2024] Quick-Tune: Quickly Learning Which Pretrained Model to Finetune and How☆32Updated 7 months ago
- Generating and Imputing Tabular Data via Diffusion and Flow XGBoost Models☆158Updated 10 months ago
- ☆48Updated 5 months ago
- Multiple quantiles estimation model maintaining non-crossing condition (or monotone quantile condition) using LightGBM and XGBoost☆33Updated 7 months ago
- Compare and ensemble models without retraining☆64Updated this week
- Repository for the explanation method Calibrated Explanations (CE)☆67Updated last month