Alternatives and similar repositories for awesome-AutoML

Users that are interested in awesome-AutoML are comparing it to the libraries listed below

• openml / automlbenchmark
  OpenML AutoML Benchmarking Framework
  ☆437Updated last week
• automl / Auto-PyTorch
  Automatic architecture search and hyperparameter optimization for PyTorch
  ☆2,507Updated last year
• hibayesian / awesome-automl-papers
  A curated list of automated machine learning papers, articles, tutorials, slides and projects
  ☆4,128Updated last year
• EthicalML / xai
  XAI - An eXplainability toolbox for machine learning
  ☆1,206Updated 4 years ago
• explainX / explainx
  Explainable AI framework for data scientists. Explain & debug any blackbox machine learning model with a single line of code. We are look…
  ☆442Updated last year
• guan-yuan / Awesome-AutoML-and-Lightweight-Models
  A list of high-quality (newest) AutoML works and lightweight models including 1.) Neural Architecture Search, 2.) Lightweight Structures,…
  ☆856Updated 4 years ago
• alteryx / evalml
  EvalML is an AutoML library written in python.
  ☆833Updated last week
• automl / HpBandSter
  a distributed Hyperband implementation on Steroids
  ☆625Updated 3 years ago
• SeldonIO / alibi
  Algorithms for explaining machine learning models
  ☆2,583Updated last month
• AxeldeRomblay / MLBox
  MLBox is a powerful Automated Machine Learning python library.
  ☆1,522Updated 2 years ago
• benedekrozemberczki / awesome-gradient-boosting-papers
  A curated list of gradient boosting research papers with implementations.
  ☆1,033Updated last year
• HunterMcGushion / hyperparameter_hunter
  Easy hyperparameter optimization and automatic result saving across machine learning algorithms and libraries
  ☆707Updated 4 years ago
• Renumics / awesome-open-data-centric-ai
  Curated list of open source tooling for data-centric AI on unstructured data.
  ☆733Updated 2 years ago
• yzhao062 / combo
  (AAAI' 20) A Python Toolbox for Machine Learning Model Combination
  ☆659Updated 2 years ago
• D-X-Y / Awesome-AutoDL
  Automated Deep Learning: Neural Architecture Search Is Not the End (a curated list of AutoDL resources and an in-depth analysis)
  ☆2,321Updated 3 years ago
• PAIR-code / what-if-tool
  Source code/webpage/demos for the What-If Tool
  ☆982Updated 2 months ago
• sosuneko / PDPbox
  python partial dependence plot toolbox
  ☆861Updated last year
• DataSystemsGroupUT / AutoML_Survey
  ☆207Updated 6 years ago
• lopusz / awesome-interpretable-machine-learning
  ☆918Updated 2 years ago
• HazyResearch / data-centric-ai
  Resources for Data Centric AI
  ☆1,129Updated last year
• salesforce / OmniXAI
  OmniXAI: A Library for eXplainable AI
  ☆955Updated last year
• ray-project / tune-sklearn
  A drop-in replacement for Scikit-Learn’s GridSearchCV / RandomizedSearchCV -- but with cutting edge hyperparameter tuning techniques.
  ☆469Updated 2 years ago
• feature-engine / feature_engine
  Feature engineering package with sklearn like functionality
  ☆2,163Updated last week
• cod3licious / autofeat
  Linear Prediction Model with Automated Feature Engineering and Selection Capabilities
  ☆530Updated 7 months ago
• huawei-noah / vega
  AutoML tools chain
  ☆852Updated 2 years ago
• aerdem4 / lofo-importance
  Leave One Feature Out Importance
  ☆850Updated 9 months ago
• csinva / imodels
  Interpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-compatible).
  ☆1,511Updated 2 months ago
• yzhao062 / awesome-ensemble-learning
  Ensemble learning related books, papers, videos, and toolboxes
  ☆301Updated 6 years ago
• Neuraxio / Neuraxle
  The world's cleanest AutoML library ✨ - Do hyperparameter tuning with the right pipeline abstractions to write clean deep learning produc…
  ☆614Updated 6 months ago
• scikit-learn-contrib / DESlib
  A Python library for dynamic classifier and ensemble selection
  ☆494Updated last year