Alternatives and similar repositories for gama

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

• ealcobaca / pymfe
  Python Meta-Feature Extractor package.
  ☆133Updated this week
• scikit-learn-contrib / scikit-learn-extra
  scikit-learn contrib estimators
  ☆198Updated last week
• XAI-ANITI / ethik
  A toolbox for fair and explainable machine learning
  ☆55Updated last year
• 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 2 years ago
• StatMixedML / CatBoostLSS
  An extension of CatBoost to probabilistic modelling
  ☆147Updated last year
• sktime / skpro
  A unified framework for tabular probabilistic regression, time-to-event prediction, and probability distributions in python
  ☆276Updated this week
• elephaint / pgbm
  Probabilistic Gradient Boosting Machines
  ☆156Updated last year
• ahmed-mohamed-sn / ATgfe
  Automated Transparent Genetic Feature Engineering
  ☆22Updated 2 years ago
• ModelOriented / SAFE
  Surrogate Assisted Feature Extraction
  ☆37Updated 4 years ago
• openml / automlbenchmark
  OpenML AutoML Benchmarking Framework
  ☆432Updated last week
• rapidsai / gputreeshap
  ☆100Updated this week
• brendanhasz / probflow
  A Python package for building Bayesian models with TensorFlow or PyTorch
  ☆175Updated 3 years ago
• parrt / stratx
  stratx is a library for A Stratification Approach to Partial Dependence for Codependent Variables
  ☆66Updated last year
• fabsig / KTBoost
  A Python package which implements several boosting algorithms with different combinations of base learners, optimization algorithms, and …
  ☆63Updated 3 years ago
• manuel-calzolari / shapicant
  Feature selection package based on SHAP and target permutation, for pandas and Spark
  ☆31Updated 3 years ago
• corels / pycorels
  Public home of pycorels, the python binding to CORELS
  ☆80Updated 5 years ago
• automl / DeepCAVE
  An interactive framework to visualize and analyze your AutoML process in real-time.
  ☆89Updated last week
• SvenSerneels / direpack
  A Python 3 package for state-of-the-art statistical dimension reduction methods
  ☆42Updated last year
• interpretml / gam-changer
  Editing machine learning models to reflect human knowledge and values
  ☆127Updated last year
• linkedin / TE2Rules
  Python library to explain Tree Ensemble models (TE) like XGBoost, using a rule list.
  ☆59Updated last year
• thuijskens / scikit-hyperband
  A scikit-learn compatible implementation of hyperband
  ☆77Updated 5 years ago
• xiyanghu / OSDT
  Optimal Sparse Decision Trees
  ☆105Updated 2 years ago
• MLBazaar / BTB
  A simple, extensible library for developing AutoML systems
  ☆175Updated 2 years ago
• soda-inria / hazardous
  Competing Risks and Survival Analysis
  ☆103Updated 3 weeks ago
• microprediction / humpday
  Elo ratings for global black box derivative-free optimizers
  ☆141Updated 6 months ago
• jdb78 / lipo
  Global, derivative-free optimization for hyperparameter tuning
  ☆42Updated 2 years 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
• jaswinder9051998 / zoofs
  zoofs is a python library for performing feature selection using a variety of nature-inspired wrapper algorithms. The algorithms range fr…
  ☆248Updated 2 months ago
• eserie / wax-ml
  A Python library for machine-learning and feedback loops on streaming data
  ☆62Updated 2 years ago
• mmschlk / iXAI
  Fast and incremental explanations for online machine learning models. Works best with the river framework.
  ☆55Updated 7 months ago