Alternatives and similar repositories for py_experimenter

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

• mmschlk / iXAI
  Fast and incremental explanations for online machine learning models. Works best with the river framework.
  ☆55Updated 10 months ago
• scikit-activeml / scikit-activeml
  scikit-activeml: A Comprehensive and User-friendly Active Learning Library
  ☆178Updated this week
• automl / DeepCAVE
  An interactive framework to visualize and analyze your AutoML process in real-time.
  ☆90Updated last week
• soda-inria / tabicl
  Repository for TabICL: A Tabular Foundation Model for In-Context Learning on Large Data
  ☆227Updated 2 months ago
• automl / neps
  Neural Pipeline Search (NePS): Helps deep learning experts find the best neural pipeline.
  ☆77Updated this week
• deel-ai / puncc
  👋 Puncc is a python library for predictive uncertainty quantification using conformal prediction.
  ☆354Updated 2 weeks ago
• ealcobaca / pymfe
  Python Meta-Feature Extractor package.
  ☆136Updated 3 months ago
• amore-labs / gama
  An automated machine learning tool aimed to facilitate AutoML research.
  ☆102Updated last year
• soda-inria / carte
  Repository for CARTE: Context-Aware Representation of Table Entries
  ☆157Updated 3 months ago
• automl / ifBO
  In-context Bayesian Optimization
  ☆16Updated last week
• givasile / effector
  Effector - a Python package for global and regional effect methods
  ☆116Updated 3 months ago
• awslabs / fortuna
  A Library for Uncertainty Quantification.
  ☆919Updated 6 months ago
• superlinear-ai / conformal-tights
  👖 Conformal Tights adds conformal prediction of coherent quantiles and intervals to any scikit-learn regressor or Darts forecaster
  ☆113Updated last month
• henrikbostrom / crepes
  Python package for conformal prediction
  ☆541Updated last month
• iancovert / sage
  For calculating global feature importance using Shapley values.
  ☆279Updated last week
• CDonnerer / xgboost-distribution
  Probabilistic prediction with XGBoost.
  ☆120Updated 7 months ago
• LeoGrin / tabular-benchmark
  ☆495Updated last year
• autogluon / tabarena
  A Living Benchmark for Machine Learning on Tabular Data
  ☆135Updated this week
• automl / PFNs
  Our maintained PFN repository. Come here to train SOTA PFNs.
  ☆120Updated last month
• soda-inria / hazardous
  Competing Risks and Survival Analysis
  ☆110Updated last month
• syne-tune / syne-tune
  Large scale and asynchronous Hyperparameter and Architecture Optimization at your fingertips.
  ☆417Updated last week
• slds-lmu / yahpo_gym
  Surrogate benchmarks for HPO problems
  ☆29Updated 5 months ago
• neurodata / treeple
  Scikit-learn compatible decision trees beyond those offered in scikit-learn
  ☆85Updated last week
• interpretml / gam-changer
  Editing machine learning models to reflect human knowledge and values
  ☆126Updated 2 years ago
• IBM / UQ360
  Uncertainty Quantification 360 (UQ360) is an extensible open-source toolkit that can help you estimate, communicate and use uncertainty i…
  ☆266Updated 2 months 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
• GAA-UAM / scikit-fda
  Functional Data Analysis Python package
  ☆335Updated 2 weeks ago
• aangelopoulos / ppi_py
  A package for statistically rigorous scientific discovery using machine learning. Implements prediction-powered inference.
  ☆264Updated 2 months ago
• naszilla / tabzilla
  Code for "TabZilla: When Do Neural Nets Outperform Boosted Trees on Tabular Data?"
  ☆172Updated last year
• scikit-learn-contrib / scikit-learn-extra
  scikit-learn contrib estimators
  ☆198Updated last week