Alternatives and similar repositories for conformal-prediction-jan2024

Users that are interested in conformal-prediction-jan2024 are comparing it to the libraries listed below

• nmdwolf / ValidPredictionIntervals
  Contains the code to run the different models considered in the paper "Valid prediction intervals for regression problems"
  ☆23Updated 3 years ago
• valeman / Multi-class-probabilistic-classification
  Multi-class probabilistic classification using inductive and cross Venn–Abers predictors
  ☆50Updated 3 years ago
• OliverHennhoefer / nonconform
  Conformal Anomaly Detection
  ☆53Updated last month
• Moffran / calibrated_explanations
  Repository for the explanation method Calibrated Explanations (CE)
  ☆72Updated this week
• PacktPublishing / Practical-Guide-to-Applied-Conformal-Prediction
  Practical Guide to Applied Conformal Prediction, published by Packt
  ☆195Updated 2 months ago
• Quilograma / ConformalPredictionTutorial
  ☆42Updated 3 years ago
• h3ik0th / ES_energy_Transformer
  Python Darts deep forecasting models
  ☆34Updated 3 years ago
• mzaffran / AdaptiveConformalPredictionsTimeSeries
  ☆68Updated 3 years ago
• superlinear-ai / conformal-tights
  👖 Conformal Tights adds conformal prediction of coherent quantiles and intervals to any scikit-learn regressor or Darts forecaster
  ☆116Updated 3 months ago
• maxmekiska / imbrium
  Standard and Hybrid Deep Learning Multivariate-Multi-Step & Univariate-Multi-Step Time Series Forecasting.
  ☆61Updated last year
• mzaffran / ConformalPredictionMissingValues
  ☆11Updated 2 years ago
• vincentblot28 / conformalized_gp
  ☆48Updated last year
• harrisp / GPyConform
  ☆50Updated 3 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
• joneswack / conformal-predictions-from-scratch
  Various Conformal Prediction methods implemented from scratch in pure NumPy for an educational purpose.
  ☆227Updated 2 years ago
• gkunapuli / ensemble-methods-notebooks
  A collection of companion Jupyter notebooks for Ensemble Methods for Machine Learning (Manning, 2023)
  ☆91Updated 2 years ago
• feedzai / timeshap
  TimeSHAP explains Recurrent Neural Network predictions.
  ☆196Updated 2 years ago
• hamrel-cxu / EnbPI
  Official code for: Conformal prediction interval for dynamic time-series (conference, ICML 21 Long Presentation) AND Conformal prediction…
  ☆129Updated 2 years ago
• NextBrain-ai / nbsynthetic
  nbsynthetic is simple and robust tabular synthetic data generation library for small and medium size datasets
  ☆69Updated 2 years ago
• FilippoMB / Ensemble-Conformalized-Quantile-Regression
  Valid and adaptive prediction intervals for probabilistic time series forecasting.
  ☆102Updated 10 months ago
• aangelopoulos / conformal-time-series
  Conformal prediction for time-series applications.
  ☆131Updated 2 years ago
• kamilest / conformal-rnn
  Implementation for Stankevičiūtė et al. "Conformal time-series forecasting", NeurIPS 2021.
  ☆77Updated last year
• salesforce / online_conformal
  Methods for online conformal prediction.
  ☆117Updated 8 months ago
• ip200 / venn-abers
  Python implementation of binary and multi-class Venn-ABERS calibration
  ☆191Updated 3 months ago
• rick12000 / confopt
  A Library for Conformal Hyperparameter Tuning
  ☆104Updated 2 months ago
• ml-jku / HopCPT
  Conformal Prediction for Time Series with Modern Hopfield Networks
  ☆85Updated 7 months ago
• rabia174 / ConformaSight
  Conformal Prediction-Based Global and Model Agnostic Explainability for Classification tasks.
  ☆26Updated 11 months ago
• AlxndrMlk / talks-and-workshops
  Materials for conference talks and workshops
  ☆32Updated 4 months ago
• ran-xie / boosted-conformal
  ☆41Updated last year
• atif-hassan / FRUFS
  An unsupervised feature selection technique using supervised algorithms such as XGBoost
  ☆91Updated 2 years ago