Alternatives and similar repositories for onelearn

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

• elephaint / pgbm
  Probabilistic Gradient Boosting Machines
  ☆157Updated last year
• brendanhasz / probflow
  A Python package for building Bayesian models with TensorFlow or PyTorch
  ☆176Updated 3 years ago
• amore-labs / gama
  An automated machine learning tool aimed to facilitate AutoML research.
  ☆102Updated last year
• fabsig / KTBoost
  A Python package which implements several boosting algorithms with different combinations of base learners, optimization algorithms, and …
  ☆63Updated 4 years ago
• pyensemble / wildwood
  Advanced random forest methods in Python
  ☆58Updated 2 years ago
• xiyanghu / OSDT
  Optimal Sparse Decision Trees
  ☆106Updated 2 years ago
• numeristical / structureboost
  Gradient boosting using categorical structure
  ☆27Updated 7 months ago
• ptocca / VennABERS
  Fast implementation of Venn-ABERS probabilistic predictors
  ☆75Updated last year
• dataiku-research / cardinal
  A practical Active Learning python package with a strong focus on experiments.
  ☆51Updated 3 years ago
• soda-inria / hazardous
  Competing Risks and Survival Analysis
  ☆113Updated 3 months ago
• probml / bandits
  Bayesian Bandits
  ☆68Updated 2 years ago
• salimamoukou / acv00
  ACV is a python library that provides explanations for any machine learning model or data. It gives local rule-based explanations for any…
  ☆102Updated 3 years ago
• scikit-learn-contrib / skglm
  Fast and modular sklearn replacement for generalized linear models
  ☆187Updated 3 months ago
• Jimmy-Lin / GeneralizedOptimalSparseDecisionTrees
  Generalized Optimal Sparse Decision Trees
  ☆70Updated last year
• ealcobaca / pymfe
  Python Meta-Feature Extractor package.
  ☆138Updated 4 months ago
• Quantco / tabmat
  Efficient matrix representations for working with tabular data
  ☆130Updated 2 weeks ago
• AlCorreia / GeFs
  Generative Forests in Python
  ☆35Updated 2 years ago
• rapidsai / gputreeshap
  ☆103Updated last month
• probml / rebayes
  Recursive Bayesian Estimation (Sequential / Online Inference)
  ☆60Updated last year
• jdb78 / lipo
  Global, derivative-free optimization for hyperparameter tuning
  ☆44Updated 2 months ago
• kno10 / python-kmedoids
  Fast K-Medoids clustering in Python with FasterPAM
  ☆86Updated last month
• parrt / stratx
  stratx is a library for A Stratification Approach to Partial Dependence for Codependent Variables
  ☆66Updated last year
• FlorianWilhelm / bhm-at-scale
  🪜 Bayesian Hierarchical Models at Scale
  ☆51Updated 4 years ago
• ksanjeevan / mapper-tda
  Mapper implementation (Topological Data Analysis) in Python
  ☆64Updated 7 years ago
• openopt / chop
  CHOP: An optimization library based on PyTorch, with applications to adversarial examples and structured neural network training.
  ☆78Updated last year
• StatMixedML / CatBoostLSS
  An extension of CatBoost to probabilistic modelling
  ☆148Updated 2 years ago
• guillermo-navas-palencia / cprior
  Fast Bayesian A/B and Multivariate testing.
  ☆36Updated 3 years ago
• karalets / TyXe
  Library for Bayesian Neural Networks in PyTorch (first version as published in ProbProg2020)
  ☆42Updated 4 years ago
• malmgrek / gammy
  Generalized additive models in Python with a Bayesian twist
  ☆78Updated 4 months ago
• scikit-mine / scikit-mine
  scikit-mine : pattern mining in Python
  ☆74Updated 2 years ago