henrikbostrom / crepesLinks
Python package for conformal prediction
β519Updated 3 months ago
Alternatives and similar repositories for crepes
Users that are interested in crepes are comparing it to the libraries listed below
Sorting:
- π Puncc is a python library for predictive uncertainty quantification using conformal prediction.β348Updated 3 months ago
- Python implementation of binary and multi-class Venn-ABERS calibrationβ190Updated last week
- Various Conformal Prediction methods implemented from scratch in pure NumPy for an educational purpose.β224Updated last year
- Shapley Interactions and Shapley Values for Machine Learningβ612Updated last week
- Quantile Regression Forests compatible with scikit-learn.β242Updated last week
- A scikit-learn-compatible library for estimating prediction intervals and controlling risks, based on conformal predictions.β1,464Updated last week
- π Conformal Tights adds conformal prediction of coherent quantiles and intervals to any scikit-learn regressor or Darts forecasterβ114Updated this week
- A Python toolbox for conformal prediction research on deep learning models, using PyTorch.β423Updated last month
- Practical Guide to Applied Conformal Prediction, published by Packtβ192Updated 3 weeks ago
- Repository for the explanation method Calibrated Explanations (CE)β70Updated this week
- A Library for Uncertainty Quantification.β920Updated 5 months ago
- β49Updated this week
- The repository to showcase the best framework for tabular data - the Awesome CatBoostβ264Updated last month
- A Living Benchmark for Machine Learning on Tabular Dataβ125Updated this week
- Forecasting with Gradient Boosted Time Series Decompositionβ197Updated 2 years ago
- An extension of LightGBM to probabilistic modellingβ333Updated last month
- Fast implementation of Venn-ABERS probabilistic predictorsβ75Updated last year
- Calculates various features from time series data. Python implementation of the R package tsfeatures.β431Updated last year
- relplot: Utilities for measuring calibration and plotting reliability diagramsβ169Updated 3 months ago
- β115Updated last year
- β202Updated last week
- Methods for online conformal prediction.β116Updated 5 months ago
- A scikit-learn-compatible module for comparing imputation methods.β141Updated last month
- A unified framework for tabular probabilistic regression, time-to-event prediction, and probability distributions in pythonβ279Updated last week
- A python library to build Model Trees with Linear Models at the leaves.β383Updated last year
- Repository for TabICL: A Tabular Foundation Model for In-Context Learning on Large Dataβ187Updated last month
- The best repository showing why transformers might not be the answer for time series forecasting and showcasing the best SOTA non transfoβ¦β757Updated 2 weeks ago
- Probabilistic Hierarchical forecasting π with statistical and econometric methods.β700Updated last week
- distfit is a python library for probability density fitting.β406Updated 3 weeks ago
- An extension of XGBoost to probabilistic modellingβ647Updated last month