Alternatives and similar repositories for baycomp

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

• brendanhasz / probflow
  A Python package for building Bayesian models with TensorFlow or PyTorch
  ☆176Updated 3 years ago
• scikit-learn-contrib / skglm
  Fast and modular sklearn replacement for generalized linear models
  ☆184Updated last week
• BayesianTestsML / tutorial
  Tutorial on Bayesian tests for Machine Learning
  ☆79Updated 4 years ago
• Yu-Group / veridical-flow
  Making it easier to build stable, trustworthy data-science pipelines based on the PCS framework.
  ☆71Updated last year
• sherbold / autorank
  ☆84Updated 3 months ago
• jmschrei / apricot
  apricot implements submodular optimization for the purpose of selecting subsets of massive data sets to train machine learning models qui…
  ☆517Updated 4 months ago
• XAI-ANITI / ethik
  A toolbox for fair and explainable machine learning
  ☆55Updated last year
• lpfgarcia / ECoL
  Extended Complexity Library in R
  ☆57Updated 4 years ago
• pymc-learn / pymc-learn
  pymc-learn: Practical probabilistic machine learning in Python
  ☆231Updated 4 years ago
• meeliskull / prg
  Software to create Precision-Recall-Gain curves and calculate area under the curve
  ☆42Updated 3 years ago
• ijmbarr / causalgraphicalmodels
  Causal Graphical Models in Python
  ☆248Updated 2 years ago
• mathurinm / celer
  Fast solver for L1-type problems: Lasso, sparse Logisitic regression, Group Lasso, weighted Lasso, Multitask Lasso, etc.
  ☆232Updated 4 months ago
• maximtrp / scikit-posthocs
  Multiple Pairwise Comparisons (Post Hoc) Tests in Python
  ☆375Updated last month
• ustunb / risk-slim
  simple customizable risk scores in python
  ☆141Updated 2 years ago
• dataiku-research / cardinal
  A practical Active Learning python package with a strong focus on experiments.
  ☆51Updated 2 years ago
• skggm / skggm
  Scikit-learn compatible estimation of general graphical models
  ☆248Updated 3 months ago
• corels / pycorels
  Public home of pycorels, the python binding to CORELS
  ☆80Updated 5 years ago
• vnmabus / dcor
  Distance correlation and related E-statistics in Python
  ☆155Updated last year
• ealcobaca / pymfe
  Python Meta-Feature Extractor package.
  ☆133Updated last month
• scikit-learn-contrib / project-template
  A template for scikit-learn extensions
  ☆337Updated 8 months ago
• corels / corels
  Learning Certifiably Optimal Rule Lists
  ☆175Updated 3 years ago
• neurodata / treeple
  Scikit-learn compatible decision trees beyond those offered in scikit-learn
  ☆85Updated last week
• nikikilbertus / fairensics
  A python library to discover and mitigate biases in machine learning models and datasets
  ☆20Updated 2 years ago
• ericsuh / dirichlet
  Dirichlet MLE python library
  ☆117Updated 2 months ago
• yngvem / group-lasso
  Group Lasso implementation following the scikit-learn API
  ☆107Updated last year
• pafoster / pyitlib
  A library of information-theoretic methods for data analysis and machine learning, implemented in Python and NumPy.
  ☆99Updated 4 months ago
• iancovert / sage
  For calculating global feature importance using Shapley values.
  ☆277Updated this week
• tiagobotari / melime
  Meaningful Local Explanation for Machine Learning Models
  ☆41Updated 2 years ago
• charmlab / mace
  Model Agnostic Counterfactual Explanations
  ☆88Updated 3 years ago
• JakeColtman / bartpy
  Bayesian Additive Regression Trees For Python
  ☆232Updated last year