Alternatives and similar repositories for metalearn:

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

• openml-labs / gama
  An automated machine learning tool aimed to facilitate AutoML research.
  ☆96Updated 5 months ago
• udellgroup / oboe
  An AutoML pipeline selection system to quickly select a promising pipeline for a new dataset.
  ☆82Updated 3 years ago
• ChanChiChoi / awesome-automl
  collecting related resources of automated machine learning here
  ☆56Updated 2 years ago
• thuijskens / scikit-hyperband
  A scikit-learn compatible implementation of hyperband
  ☆76Updated 5 years ago
• HazyResearch / mandoline
  (ICML 2021) Mandoline: Model Evaluation under Distribution Shift
  ☆31Updated 3 years ago
• dataiku-research / cardinal
  A practical Active Learning python package with a strong focus on experiments.
  ☆51Updated 2 years ago
• ahthie7u / cockpit
  Code for the anonymous submission "Cockpit: A Practical Debugging Tool for Training Deep Neural Networks"
  ☆31Updated 4 years ago
• automl / CAVE
  [deprecated] Configuration Assessment, Visualization and Evaluation
  ☆46Updated 2 years ago
• MLBazaar / AutoBazaar
  AutoBazaar: An AutoML System from the Machine Learning Bazaar
  ☆33Updated 3 years ago
• realityengines / post_hoc_debiasing
  ☆17Updated 4 years ago
• uber / bayesmark
  Benchmark framework to easily compare Bayesian optimization methods on real machine learning tasks
  ☆143Updated 3 years ago
• petuum / tuun
  Hyperparameter tuning via uncertainty modeling
  ☆47Updated 9 months ago
• smastelini / mtr-toolkit
  ☆15Updated 6 years ago
• lethaiq / GRACE_KDD20
  GRACE: Generating Concise and Informative Contrastive Sample to Explain Neural Network Model’s Prediction. Thai Le, Suhang Wang, Dongwon …
  ☆21Updated 4 years ago
• datamllab / autokaggle
  Automated Machine Learning (AutoML) for Kaggle Competition
  ☆32Updated last year
• automl / HPOlib1.5
  ☆69Updated 4 years ago
• myaooo / pysbrl
  Python Interface of the Scalable Bayesian Rule Lists
  ☆19Updated 5 years ago
• online-ml / river-extra
  Extra functionalities for river
  ☆14Updated 9 months ago
• csinva / disentangled-attribution-curves
  Using / reproducing DAC from the paper "Disentangled Attribution Curves for Interpreting Random Forests and Boosted Trees"
  ☆27Updated 4 years ago
• mwydmuch / napkinXC
  Extremely simple and fast extreme multi-class and multi-label classifiers.
  ☆64Updated this week
• ofnote / tsanley
  A runtime shape checker and auto-annotator for tensor programs (pronounced "stanley")
  ☆39Updated 5 years ago
• automl / fanova
  Functional ANOVA
  ☆122Updated last week
• ealcobaca / pymfe
  Python Meta-Feature Extractor package.
  ☆130Updated 7 months ago
• stanis-morozov / prodige
  A supplementary code for Beyond Vector Spaces: Compact Data Representation as Differentiable Weighted Graphs.
  ☆47Updated 5 years ago
• jlko / active-testing
  Active and Sample-Efficient Model Evaluation
  ☆24Updated 3 years ago
• hadijomaa / dataset2vec
  ☆32Updated 3 years ago
• IBM / HOTT
  Code for NeurIPS 2019 paper "Hierarchical Optimal Transport for Document Representation"
  ☆54Updated 5 years ago
• saket-maheshwary / AutoLearn
  AutoLearn, a domain independent regression-based feature learning algorithm.
  ☆30Updated 5 years ago
• w4k2 / stream-learn
  The stream-learn is an open-source Python library for difficult data stream analysis.
  ☆63Updated 2 months ago
• LightTag / ALMa
  ALMa (Active Learning Manager) Keeps track of labeled and unlabeled data for active learning
  ☆41Updated 4 years ago