pharmbio / plot_utilsLinks
Repo that groups utility functions for e.g. plotting of Conformal prediction metrics
☆17Updated last year
Alternatives and similar repositories for plot_utils
Users that are interested in plot_utils are comparing it to the libraries listed below
Sorting:
- Fast implementation of Venn-ABERS probabilistic predictors☆75Updated last year
 - Repository for the explanation method Calibrated Explanations (CE)☆70Updated last week
 - Adaptive Conformal Prediction Intervals (ACPI) is a Python package that enhances the Predictive Intervals provided by the split conformal…☆30Updated 2 years ago
 - ☆48Updated 9 months ago
 - Multi-class probabilistic classification using inductive and cross Venn–Abers predictors☆49Updated 3 years ago
 - A Library for Conformal Hyperparameter Tuning☆102Updated last week
 - Methods for online conformal prediction.☆116Updated 6 months ago
 - [ NeurIPS 2023 ] Official Codebase for "Conformal Meta-learners for Predictive Inference of Individual Treatment Effects"☆45Updated 2 years ago
 - ☆40Updated 10 months ago
 - tsbootstrap: generate bootstrapped time series samples in Python☆84Updated 3 months ago
 - ☆115Updated last year
 - Calibrated Random Forests☆40Updated 5 years ago
 - Integrated tool for model development and validation☆31Updated last month
 - 👖 Conformal Tights adds conformal prediction of coherent quantiles and intervals to any scikit-learn regressor or Darts forecaster☆115Updated last month
 - Conformal Prediction-Based Global and Model Agnostic Explainability for Classification tasks.☆26Updated 8 months ago
 - A framework for calibration measurement of binary probabilistic models☆29Updated last year
 - All the material needed to use MC-CP and the Adaptive MC Dropout method☆24Updated 5 months ago
 - Various Conformal Prediction methods implemented from scratch in pure NumPy for an educational purpose.☆224Updated last year
 - Python implementation of binary and multi-class Venn-ABERS calibration☆191Updated last month
 - ☆49Updated last month
 - Python library for confidence sequences, sequential testing, e-processes, e-values, and game-theoretic probability.☆72Updated this week
 - Quantile Regression Forests compatible with scikit-learn.☆246Updated last week
 - A simple and fast sklearn-compatible conformal predictions with random forests for both classification and regression tasks.☆45Updated 2 months ago
 - A short introduction to Conformal Prediction methods, with a few examples for classification and regression from the Astrophysical domain…☆12Updated last year
 - Advanced random forest methods in Python☆58Updated last year
 - Implementation of Conformal Convolution T-learner (CCT) and Conformal Monte Carlo (CMC) learner☆16Updated 5 months ago
 - Forecast evaluation library☆127Updated last week
 - Extension of crepes package, to enable weighted conformal prediction and conformal predictive systems that can handle covariate shifts.☆22Updated 8 months ago
 - implementation of Cyclic Boosting machine learning algorithms☆94Updated last year
 - Causal Impact but with MFLES and conformal prediction intervals☆33Updated 10 months ago