MathiasKraus / igann
☆43Updated last month
Alternatives and similar repositories for igann:
Users that are interested in igann are comparing it to the libraries listed below
- Fast implementation of Venn-ABERS probabilistic predictors☆72Updated last year
- Mixture of Decision Trees for Interpretable Machine Learning☆11Updated 3 years ago
- Repository for the explanation method Calibrated Explanations (CE)☆64Updated 3 weeks ago
- Python implementation of binary and multi-class Venn-ABERS calibration☆149Updated 6 months ago
- ☆37Updated 3 months ago
- Generating and Imputing Tabular Data via Diffusion and Flow XGBoost Models☆148Updated 7 months ago
- ML models + benchmark for tabular data classification and regression☆114Updated this week
- Repository for TabICL: A Tabular Foundation Model for In-Context Learning on Large Data☆31Updated 2 weeks ago
- Tabular In-Context Learning☆52Updated 3 weeks ago
- The long missing library for python confidence intervals☆137Updated 10 months ago
- Interpret text data using LLMs (scikit-learn compatible).☆163Updated 2 weeks ago
- relplot: Utilities for measuring calibration and plotting reliability diagrams☆142Updated 9 months ago
- Competing Risks and Survival Analysis☆92Updated this week
- A power-full Shapley feature selection method.☆203Updated 11 months ago
- WeightedSHAP: analyzing and improving Shapley based feature attributions (NeurIPS 2022)☆160Updated 2 years ago
- Conformal Anomaly Detection☆45Updated 3 weeks ago
- (ICLR 2024) GRANDE: Gradient-Based Decision Tree Ensembles☆89Updated last week
- 👋 Puncc is a python library for predictive uncertainty quantification using conformal prediction.☆316Updated 2 months ago
- ☆198Updated this week
- [AAAI 24] GradTree: Gradient-Based Axis-Aligned Decision Trees☆13Updated 7 months ago
- Advanced random forest methods in Python☆57Updated last year
- Tries to shrink your Pandas column dtypes with no data loss so you have more spare RAM☆50Updated last year
- ☆115Updated last year
- Batch shap calculations.☆30Updated 2 years ago
- TuneTables is a tabular classifier that implements prompt tuning for frozen prior-fitted networks.☆17Updated 3 months ago
- Multi-class probabilistic classification using inductive and cross Venn–Abers predictors☆44Updated 2 years ago
- TabDPT: Scaling Tabular Foundation Models☆26Updated 3 weeks ago
- Editing machine learning models to reflect human knowledge and values☆124Updated last year
- A Natural Language Interface to Explainable Boosting Machines☆65Updated 8 months ago
- A deep learning tabular classification architecture inspired by TabTransformer with integrated gated multilayer perceptron.☆98Updated 2 years ago