Alternatives and similar repositories for divergence:

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

• ptocca / VennABERS
  Fast implementation of Venn-ABERS probabilistic predictors
  ☆72Updated last year
• S-Driscoll / Projection-pursuit
  Code for performing various projection pursuit routines
  ☆35Updated 2 years ago
• pyensemble / wildwood
  Advanced random forest methods in Python
  ☆57Updated last year
• valeman / Multi-class-probabilistic-classification
  Multi-class probabilistic classification using inductive and cross Venn–Abers predictors
  ☆44Updated 2 years ago
• jdb78 / lipo
  Global, derivative-free optimization for hyperparameter tuning
  ☆42Updated 2 years ago
• nla-group / fABBA
  A Python library for the fast symbolic approximation of time series
  ☆44Updated 2 weeks ago
• polsys / ennemi
  Easy Nearest Neighbor Estimation of Mutual Information
  ☆36Updated 3 months ago
• lanl / pyBASS
  Bayesian Adaptive Spline Surfaces for flexible and automatic regression
  ☆22Updated 8 months ago
• CDonnerer / xgboost-distribution
  Probabilistic prediction with XGBoost.
  ☆105Updated 2 weeks ago
• vincentblot28 / conformalized_gp
  ☆46Updated last month
• zedshape / zgrouping
  ☆23Updated 2 years ago
• TomerRonen34 / treeboost_autograd
  Easy Custom Losses for Tree Boosters using Pytorch
  ☆34Updated 4 years ago
• gerdm / bayes
  Neat Bayesian machine learning examples
  ☆54Updated last month
• manujosephv / GATE
  ☆18Updated 2 years ago
• eserie / wax-ml
  A Python library for machine-learning and feedback loops on streaming data
  ☆60Updated last year
• rick12000 / confopt
  A Library for Conformal Hyperparameter Tuning
  ☆28Updated this week
• fabsig / KTBoost
  A Python package which implements several boosting algorithms with different combinations of base learners, optimization algorithms, and …
  ☆63Updated 3 years ago
• parrt / stratx
  stratx is a library for A Stratification Approach to Partial Dependence for Codependent Variables
  ☆65Updated 10 months ago
• nmdwolf / ValidPredictionIntervals
  Contains the code to run the different models considered in the paper "Valid prediction intervals for regression problems"
  ☆19Updated 2 years ago
• nickfrosst / neural_additive_models
  stand alone Neural Additive Models, forked from google-reasearch for easy import to colab
  ☆27Updated 4 years ago
• TorchUQ / torchuq
  A library for uncertainty quantification based on PyTorch
  ☆121Updated 3 years ago
• microprediction / mkalgo
  Mueen-Keogh Algorithm for finding timeseries motifs
  ☆21Updated 4 years ago
• EtashGuha / R2CCP
  ☆20Updated 10 months ago
• samuelstanton / conformal-bayesopt
  Bayesian optimization with conformal coverage guarantees
  ☆27Updated 2 years ago
• SvenSerneels / direpack
  A Python 3 package for state-of-the-art statistical dimension reduction methods
  ☆40Updated 9 months ago
• blei-lab / treeffuser
  Treeffuser is an easy-to-use package for probabilistic prediction and probabilistic regression on tabular data with tree-based diffusion …
  ☆40Updated last week
• gmgeorg / pylambertw
  pylambertw - sklearn interface to analyze and gaussianize heavy-tailed, skewed data
  ☆12Updated 10 months ago
• hamrel-cxu / MultiDimSPCI
  Official implementation of "Conformal prediction for multi-dimensional time series by ellipsoidal sets" (ICML 2024 spotlight)
  ☆16Updated 7 months ago
• felipeangelimvieira / prophetverse
  A multiverse of Prophet models for timeseries
  ☆43Updated this week
• ran-xie / boosted-conformal
  ☆37Updated 2 months ago