Alternatives and similar repositories for ConformaSight

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

• modeva-ai / Modeva
  Integrated tool for model development and validation
  ☆33Updated last month
• Moffran / calibrated_explanations
  Repository for the explanation method Calibrated Explanations (CE)
  ☆70Updated this week
• superlinear-ai / conformal-tights
  👖 Conformal Tights adds conformal prediction of coherent quantiles and intervals to any scikit-learn regressor or Darts forecaster
  ☆115Updated 2 months ago
• rick12000 / confopt
  A Library for Conformal Hyperparameter Tuning
  ☆104Updated 2 weeks ago
• tblume1992 / MFLES
  ☆115Updated last year
• ip200 / venn-abers
  Python implementation of binary and multi-class Venn-ABERS calibration
  ☆191Updated 2 months ago
• OliverHennhoefer / nonconform
  Conformal Anomaly Detection
  ☆51Updated this week
• zillow / quantile-forest
  Quantile Regression Forests compatible with scikit-learn.
  ☆250Updated 2 weeks ago
• xqnwang / conformalForecast
  Methods and tools for multistep-ahead time series conformal prediction.
  ☆42Updated 2 months ago
• predict-idlab / crepes-weighted
  Extension of crepes package, to enable weighted conformal prediction and conformal predictive systems that can handle covariate shifts.
  ☆23Updated 9 months ago
• ran-xie / boosted-conformal
  ☆41Updated 11 months ago
• ptocca / VennABERS
  Fast implementation of Venn-ABERS probabilistic predictors
  ☆75Updated last year
• cerlymarco / tspiral
  A python package for time series forecasting with scikit-learn estimators.
  ☆163Updated last year
• jefferythewind / warpgbm
  WarpGBM: High-Speed Gradient Boosting
  ☆94Updated 3 weeks ago
• Nixtla / fpp3-python
  Forecasting: principles and practice in python
  ☆199Updated 2 years ago
• valeman / Multi-class-probabilistic-classification
  Multi-class probabilistic classification using inductive and cross Venn–Abers predictors
  ☆50Updated 3 years ago
• yubin-park / califorest
  Calibrated Random Forests
  ☆40Updated 5 years ago
• takechanman1228 / Effective-Uplift-Modeling
  ☆23Updated last year
• Nixtla / utilsforecast
  Helper functions to plot, evaluate, preprocess and engineer features for forecasting
  ☆94Updated last week
• MichelLutz1994 / Conformal_Prediction
  This projects contains different conformal methods and approaches. Includes code generated for a experimental evaluation of a multidimens…
  ☆19Updated last year
• salesforce / online_conformal
  Methods for online conformal prediction.
  ☆117Updated 7 months ago
• lavinei / pybats
  Bayesian time series forecasting and decision analysis
  ☆120Updated 2 years ago
• ostojanovic / causalML
  ☆33Updated last year
• tblume1992 / ThymeBoost
  Forecasting with Gradient Boosted Time Series Decomposition
  ☆197Updated 2 years ago
• kvnkho / pydata-timeseries-forecasting
  Material for PyData NYC Tutorial on Large Scale Timeseries Forecasting
  ☆27Updated 2 years ago
• PacktPublishing / Practical-Guide-to-Applied-Conformal-Prediction
  Practical Guide to Applied Conformal Prediction, published by Packt
  ☆193Updated last month
• harrisp / GPyConform
  ☆50Updated 2 months ago
• rakshitha123 / WeeklyForecasting
  This repository contains the experiments related with a new baseline model that can be used in forecasting weekly time series. This model…
  ☆48Updated 3 years ago
• MartinWeigl / pycaleva
  A framework for calibration measurement of binary probabilistic models
  ☆29Updated last year
• Blue-Yonder-OSS / cyclic-boosting
  implementation of Cyclic Boosting machine learning algorithms
  ☆94Updated last year