Alternatives and similar repositories for onelearn:

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

• pyensemble / wildwood
  Advanced random forest methods in Python
  ☆58Updated last year
• ptocca / VennABERS
  Fast implementation of Venn-ABERS probabilistic predictors
  ☆72Updated last year
• elephaint / pgbm
  Probabilistic Gradient Boosting Machines
  ☆145Updated last year
• dataiku-research / cardinal
  A practical Active Learning python package with a strong focus on experiments.
  ☆51Updated 2 years ago
• mmschlk / iXAI
  Fast and incremental explanations for online machine learning models. Works best with the river framework.
  ☆53Updated last month
• probml / bandits
  Bayesian Bandits
  ☆68Updated last year
• openml-labs / gama
  An automated machine learning tool aimed to facilitate AutoML research.
  ☆96Updated 5 months ago
• StatMixedML / DGBM
  Distributional Gradient Boosting Machines
  ☆27Updated 2 years ago
• MaxHalford / starboost
  Gradient boosting on steroids
  ☆27Updated 8 months ago
• AlCorreia / GeFs
  Generative Forests in Python
  ☆34Updated last year
• soda-inria / hazardous
  Competing Risks and Survival Analysis
  ☆68Updated this week
• openopt / chop
  CHOP: An optimization library based on PyTorch, with applications to adversarial examples and structured neural network training.
  ☆77Updated 11 months ago
• scikit-mine / scikit-mine
  scikit-mine : pattern mining in Python
  ☆73Updated last year
• polsys / ennemi
  Easy Nearest Neighbor Estimation of Mutual Information
  ☆36Updated 3 months ago
• XAI-ANITI / ethik
  A toolbox for fair and explainable machine learning
  ☆55Updated 8 months ago
• zzd1992 / GBDTMO
  Gradient boosted decision trees for multiple outputs. Better generalization ability, faster training and inference.
  ☆44Updated last month
• ealcobaca / pymfe
  Python Meta-Feature Extractor package.
  ☆130Updated 7 months ago
• fabsig / KTBoost
  A Python package which implements several boosting algorithms with different combinations of base learners, optimization algorithms, and …
  ☆63Updated 3 years ago
• felipeangelimvieira / prophetverse
  A multiverse of Prophet models for timeseries
  ☆42Updated this week
• rapidsai / gputreeshap
  ☆94Updated 6 months ago
• online-ml / river-extra
  Extra functionalities for river
  ☆14Updated 9 months ago
• zelros / cinnamon
  CinnaMon is a Python library which offers a number of tools to detect, explain, and correct data drift in a machine learning system
  ☆77Updated 2 years ago
• kxytechnologies / kxy-python
  A toolkit to boost the productivity of machine learning engineers.
  ☆52Updated 2 years ago
• brendanhasz / probflow
  A Python package for building Bayesian models with TensorFlow or PyTorch
  ☆173Updated 2 years ago
• scikit-learn-contrib / skglm
  Fast and modular sklearn replacement for generalized linear models
  ☆165Updated 3 months ago
• MaxHalford / naked
  The simplest way to deploy a machine learning model
  ☆23Updated 2 years ago
• thuijskens / scikit-hyperband
  A scikit-learn compatible implementation of hyperband
  ☆76Updated 5 years ago
• parrt / stratx
  stratx is a library for A Stratification Approach to Partial Dependence for Codependent Variables
  ☆65Updated 9 months ago
• janezd / baycomp
  ☆72Updated 10 months ago
• ykwon0407 / WeightedSHAP
  WeightedSHAP: analyzing and improving Shapley based feature attributions (NeurIPS 2022)
  ☆160Updated 2 years ago