henrikbostrom / crepesLinks
Python package for conformal prediction
☆550Updated 2 months ago
Alternatives and similar repositories for crepes
Users that are interested in crepes are comparing it to the libraries listed below
Sorting:
- 👋 Puncc is a python library for predictive uncertainty quantification using conformal prediction.☆366Updated last month
- Python implementation of binary and multi-class Venn-ABERS calibration☆191Updated 3 months ago
- Shapley Interactions and Shapley Values for Machine Learning☆662Updated last week
- Various Conformal Prediction methods implemented from scratch in pure NumPy for an educational purpose.☆227Updated last year
- Quantile Regression Forests compatible with scikit-learn.☆251Updated 2 weeks ago
- 👖 Conformal Tights adds conformal prediction of coherent quantiles and intervals to any scikit-learn regressor or Darts forecaster☆115Updated 3 months ago
- A scikit-learn-compatible library for estimating prediction intervals and controlling risks, based on conformal predictions.☆1,502Updated this week
- The repository to showcase the best framework for tabular data - the Awesome CatBoost☆280Updated 4 months ago
- A Library for Conformal Hyperparameter Tuning☆104Updated last month
- A Python toolbox for conformal prediction research on deep learning models, using PyTorch.☆439Updated 2 months ago
- Practical Guide to Applied Conformal Prediction, published by Packt☆194Updated last month
- Repository for the explanation method Calibrated Explanations (CE)☆71Updated this week
- ☆50Updated 3 months ago
- A Library for Uncertainty Quantification.☆924Updated 8 months ago
- An extension of LightGBM to probabilistic modelling☆355Updated 3 weeks ago
- A Living Benchmark for Machine Learning on Tabular Data☆167Updated 2 weeks ago
- A unified framework for tabular probabilistic regression, time-to-event prediction, and probability distributions in python☆292Updated 2 weeks ago
- Forecasting with Gradient Boosted Time Series Decomposition☆197Updated 2 years ago
- A python library to build Model Trees with Linear Models at the leaves.☆387Updated last year
- Calculates various features from time series data. Python implementation of the R package tsfeatures.☆438Updated last year
- A scikit-learn-compatible module for comparing imputation methods.☆139Updated last week
- Fast implementation of Venn-ABERS probabilistic predictors☆75Updated last year
- ML models + benchmark for tabular data classification and regression☆315Updated 2 weeks ago
- ☆115Updated last year
- Multiple Imputation with LightGBM in Python☆403Updated 2 months ago
- WarpGBM: High-Speed Gradient Boosting☆94Updated last month
- relplot: Utilities for measuring calibration and plotting reliability diagrams☆176Updated 2 months ago
- Probabilistic Hierarchical forecasting 👑 with statistical and econometric methods.☆723Updated 2 weeks ago
- An extension of XGBoost to probabilistic modelling☆680Updated 3 weeks ago
- A package for statistically rigorous scientific discovery using machine learning. Implements prediction-powered inference.☆270Updated 4 months ago