Alternatives and similar repositories for fastcan

Users that are interested in fastcan are comparing it to the libraries listed below

• pharmbio / plot_utils
  Repo that groups utility functions for e.g. plotting of Conformal prediction metrics
  ☆17Updated last year
• MartinWeigl / pycaleva
  A framework for calibration measurement of binary probabilistic models
  ☆29Updated last year
• astrogilda / tsbootstrap
  tsbootstrap: generate bootstrapped time series samples in Python
  ☆87Updated 6 months ago
• CDonnerer / xgboost-distribution
  Probabilistic prediction with XGBoost.
  ☆120Updated 9 months ago
• williambdean / latent-calendar
  Analyze and model weekly calendar distributions using latent components
  ☆10Updated 2 weeks ago
• koaning / scikit-mdn
  A mixture density network, by PyTorch, for scikit-learn
  ☆24Updated last year
• superlinear-ai / conformal-tights
  👖 Conformal Tights adds conformal prediction of coherent quantiles and intervals to any scikit-learn regressor or Darts forecaster
  ☆115Updated 3 months ago
• NorskRegnesentral / skchange
  skchange provides sktime-compatible change detection and changepoint-based anomaly detection algorithms
  ☆41Updated 3 months ago
• DynamicsAndNeuralSystems / pycatch22
  python implementation of catch22
  ☆90Updated 5 months ago
• salimamoukou / ACPI
  Adaptive Conformal Prediction Intervals (ACPI) is a Python package that enhances the Predictive Intervals provided by the split conformal…
  ☆30Updated 2 years ago
• Larsvanderlaan / SelfCalibratingConformal
  An implementation of Self-Calibrating Conformal Prediction, accepted to Neurips 2024. SC-CP combines Venn-Abers calibration and conformal…
  ☆10Updated 11 months ago
• sktime / skbase
  Base classes for creating scikit-learn-like parametric objects, and tools for working with them.
  ☆31Updated this week
• OpenTabular / DeepTab
  DeepTab is a Python package that simplifies tabular deep learning by providing a suite of models for regression, classification, and dist…
  ☆284Updated this week
• rick12000 / confopt
  A Library for Conformal Hyperparameter Tuning
  ☆104Updated last month
• yubin-park / califorest
  Calibrated Random Forests
  ☆40Updated 5 years ago
• Nixtla / utilsforecast
  Helper functions to plot, evaluate, preprocess and engineer features for forecasting
  ☆96Updated 3 weeks ago
• predict-idlab / crepes-weighted
  Extension of crepes package, to enable weighted conformal prediction and conformal predictive systems that can handle covariate shifts.
  ☆23Updated 10 months ago
• vincentblot28 / conformalized_gp
  ☆48Updated 11 months ago
• autogluon / fev
  Forecast evaluation library
  ☆136Updated this week
• datavaluepeople / kotsu
  Lightweight framework for structured and repeatable model validation
  ☆12Updated last month
• herbps10 / AdaptiveConformal
  R package for Adaptive Conformal Inference
  ☆17Updated last year
• hsbc / tslumen
  A library for Time Series EDA (exploratory data analysis)
  ☆72Updated last year
• Blue-Yonder-OSS / cyclic-boosting
  implementation of Cyclic Boosting machine learning algorithms
  ☆94Updated last year
• ptocca / VennABERS
  Fast implementation of Venn-ABERS probabilistic predictors
  ☆75Updated last year
• dave31415 / trendfilter
  Trend filtering
  ☆14Updated last year
• predict-idlab / cct-cmc
  Implementation of Conformal Convolution T-learner (CCT) and Conformal Monte Carlo (CMC) learner
  ☆17Updated 7 months ago
• ziatdinovmax / NeuroBayes
  Fully and Partially Bayesian Neural Nets
  ☆80Updated 8 months ago
• koaning / scikit-playtime
  Rethinking machine learning pipelines
  ☆34Updated 3 months ago
• samuelstanton / conformal-bayesopt
  Bayesian optimization with conformal coverage guarantees
  ☆29Updated 3 years ago
• jpfolch / MFBoom
  ☆10Updated 2 years ago