Alternatives and similar repositories for naiveautoml

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

• AutoViML / lazytransform
  Automatically transform all categorical, date-time, NLP variables to numeric in a single line of code for any data set any size.
  ☆65Updated 5 months ago
• MartinWeigl / pycaleva
  A framework for calibration measurement of binary probabilistic models
  ☆28Updated last year
• koaning / scikit-mdn
  A mixture density network, by PyTorch, for scikit-learn
  ☆23Updated 7 months ago
• NorskRegnesentral / skchange
  skchange provides sktime-compatible change detection and changepoint-based anomaly detection algorithms
  ☆34Updated this week
• probabl-ai / youtube-appendix
  Resources for some of our education content
  ☆42Updated 3 weeks ago
• hsbc / tslumen
  A library for Time Series EDA (exploratory data analysis)
  ☆69Updated 11 months ago
• RianneSchouten / pyampute
  Missing data amputation and exploration functions for Python
  ☆71Updated 2 years ago
• atif-hassan / FRUFS
  An unsupervised feature selection technique using supervised algorithms such as XGBoost
  ☆90Updated last year
• Matt-OP / fasteda
  A python module that provides a quick way to overview a DataFrame
  ☆49Updated 2 years ago
• FBruzzesi / sklearn-smithy
  Toolkit to forge scikit-learn compatible estimators
  ☆19Updated 2 weeks ago
• solegalli / feature_engine
  Feature engineering package with sklearn like functionality
  ☆54Updated 10 months ago
• KaveIO / PhiK
  Phi_K correlation analyzer library
  ☆165Updated this week
• koaning / scikit-churn
  Exploring some issues related to churn
  ☆16Updated last year
• Moffran / calibrated_explanations
  Repository for the explanation method Calibrated Explanations (CE)
  ☆69Updated last month
• sktime / enhancement-proposals
  sktime enhancement proposals
  ☆7Updated last week
• koaning / scikit-partial
  Pipeline components that support partial_fit.
  ☆46Updated last year
• scikit-learn-contrib / hiclass
  A python library for hierarchical classification compatible with scikit-learn
  ☆133Updated 4 months 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
• se-jaeger / conformal-data-cleaning
  Code for the AISTATS 2024 Paper "From Data Imputation to Data Cleaning - Automated Cleaning of Tabular Data Improves Downstream Predictiv…
  ☆22Updated last year
• scikit-learn-contrib / scikit-learn-extra
  scikit-learn contrib estimators
  ☆197Updated 3 weeks ago
• scikit-learn-contrib / skdag
  A more flexible alternative to scikit-learn Pipelines
  ☆36Updated last month
• donlapark / coverforest
  A simple and fast sklearn-compatible conformal predictions with random forests for both classification and regression tasks.
  ☆44Updated 2 months ago
• soda-inria / survival-analysis-benchmark
  Exploratory repository to study predictive survival analysis models
  ☆34Updated 2 years ago
• LocalCascadeEnsemble / LCE
  Random Forest or XGBoost? It is Time to Explore LCE
  ☆66Updated last year
• lucazav / binclass-tools
  The binclass-tools package contains a set of Python wrappers and interactive plots that facilitate the analysis of binary classification …
  ☆75Updated 2 years ago
• awesome-panel / panel-modal
  A Modal that works with Panel in both server and notebook environments.
  ☆21Updated last year
• lorentzenchr / model-diagnostics
  Tools for diagnostics and assessment of (machine learning) models
  ☆38Updated 3 weeks ago
• samarth-agrawal-86 / fast_ml
  ☆20Updated last year
• ahmed-mohamed-sn / ATgfe
  Automated Transparent Genetic Feature Engineering
  ☆22Updated 2 years ago
• erdogant / hgboost
  hgboost is a python package for hyper-parameter optimization for xgboost, catboost or lightboost using cross-validation, and evaluating t…
  ☆64Updated 4 months ago