jjbrophy47 / ibug
Instance-based uncertainty estimation for gradient-boosted regression trees
☆30Updated 6 months ago
Alternatives and similar repositories for ibug:
Users that are interested in ibug are comparing it to the libraries listed below
- Distributional Gradient Boosting Machines☆27Updated 2 years ago
- An extension of Py-Boost to probabilistic modelling☆21Updated 2 years ago
- SSCP: Improving Adaptive Conformal Prediction Using Self-supervised Learning (AISTATS 2023)☆17Updated last year
- ☆46Updated last month
- ☆20Updated 10 months ago
- Interpretable ML for TabPFN☆18Updated 10 months ago
- Fast implementation of Venn-ABERS probabilistic predictors☆72Updated last year
- Repository for the explanation method Calibrated Explanations (CE)☆61Updated this week
- ☆18Updated 2 years ago
- [ NeurIPS 2023 ] Official Codebase for "Conformal Meta-learners for Predictive Inference of Individual Treatment Effects"☆42Updated last year
- TabReD: Analyzing Pitfalls and Filling the Gaps in Tabular Deep Learning Benchmarks☆62Updated 3 months ago
- Probabilistic prediction with XGBoost.☆105Updated 7 months ago
- Our maintained PFN repository. Come here to train SOTA PFNs.☆60Updated last week
- Batch shap calculations.☆31Updated 2 years ago
- TuneTables is a tabular classifier that implements prompt tuning for frozen prior-fitted networks.☆15Updated 2 months ago
- [NeurIPS 2021] Well-tuned Simple Nets Excel on Tabular Datasets☆80Updated last year
- A package for conformal prediction with conditional guarantees.☆49Updated 2 weeks ago
- (ICLR 2024) GRANDE: Gradient-Based Decision Tree Ensembles☆88Updated this week
- Adaptive and Reliable Classification: efficient conformity scores for multi-class classification problems☆31Updated 2 years ago
- Training and evaluating NBM and SPAM for interpretable machine learning.☆77Updated last year
- For calculating Shapley values via linear regression.☆67Updated 3 years ago
- Implementation for Stankevičiūtė et al. "Conformal time-series forecasting", NeurIPS 2021.☆70Updated 3 months ago
- Contains the code to run the different models considered in the paper "Valid prediction intervals for regression problems"☆19Updated 2 years ago
- Adaptive Conformal Prediction Intervals (ACPI) is a Python package that enhances the Predictive Intervals provided by the split conformal…☆27Updated last year
- Influence Estimation for Gradient-Boosted Decision Trees☆26Updated 8 months ago
- ☆37Updated last month
- Revisiting Pretrarining Objectives for Tabular Deep Learning☆63Updated 2 years ago
- TabDPT: Scaling Tabular Foundation Models☆25Updated last week
- Code for "NODE-GAM: Neural Generalized Additive Model for Interpretable Deep Learning"☆43Updated 2 years ago
- Conformal prediction for controlling monotonic risk functions. Simple accompanying PyTorch code for conformal risk control in computer vi…☆62Updated 2 years ago