Alternatives and similar repositories for fasteda

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

• AidanCooper / shap-clustering
  How to use SHAP values for better cluster analysis
  ☆59Updated 3 years ago
• FBruzzesi / sklearn-smithy
  Toolkit to forge scikit-learn compatible estimators
  ☆19Updated last month
• dubovikmaster / parallel-pandas
  Parallel processing on pandas with progress bars
  ☆61Updated 6 months ago
• probabl-ai / youtube-appendix
  Resources for some of our education content
  ☆46Updated 4 months ago
• solegalli / feature_engine
  Feature engineering package with sklearn like functionality
  ☆56Updated last year
• atif-hassan / FRUFS
  An unsupervised feature selection technique using supervised algorithms such as XGBoost
  ☆90Updated last year
• koaning / scikit-churn
  Exploring some issues related to churn
  ☆17Updated last year
• smazzanti / tds_features_important_doesnt_mean_good
  ☆32Updated 2 years ago
• pyartemis / artemis
  A Python package with explanation methods for extraction of feature interactions from predictive models
  ☆33Updated 2 years ago
• scikit-learn-contrib / skdag
  A more flexible alternative to scikit-learn Pipelines
  ☆37Updated 6 months ago
• RianneSchouten / pyampute
  Missing data amputation and exploration functions for Python
  ☆72Updated 3 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 10 months ago
• MartinWeigl / pycaleva
  A framework for calibration measurement of binary probabilistic models
  ☆29Updated last year
• 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 11 months ago
• lucazav / binclass-tools
  The binclass-tools package contains a set of Python wrappers and interactive plots that facilitate the analysis of binary classification …
  ☆73Updated 2 years ago
• soda-inria / survival-analysis-benchmark
  Exploratory repository to study predictive survival analysis models
  ☆37Updated 2 years ago
• Brett-Kennedy / CountsOutlierDetector
  Interpretable, intuitive outlier detector intended for categorical and numeric data.
  ☆12Updated last year
• 6chaoran / jupyter-summarytools
  summarytools in jupyter notebook
  ☆111Updated last year
• koaning / scikit-prune
  Prune your sklearn models
  ☆19Updated last year
• exploripy / exploripy
  Pre-Modelling Analysis of the data, by doing various exploratory data analysis and Statistical Test.
  ☆51Updated 2 years ago
• sktime / sktime-tutorial-pydata-global-2022
  sktime - python toolbox for time series: pipelines and transformers
  ☆25Updated 3 years ago
• ModelOriented / SAFE
  Surrogate Assisted Feature Extraction
  ☆37Updated 4 years ago
• Techtonique / nnetsauce
  Statistical/Machine Learning using Randomized and Quasi-Randomized (neural) networks (currently Python & R)
  ☆20Updated 2 weeks ago
• scikit-learn-contrib / denmune-clustering-algorithm
  DenMune a clustering algorithm that can find clusters of arbitrary size, shapes and densities in two-dimensions. Higher dimensions are fi…
  ☆32Updated 9 months ago
• khuyentran1401 / prefect-docker
  Demo on how to use Prefect with Docker
  ☆27Updated 3 years ago
• koaning / scikit-partial
  Pipeline components that support partial_fit.
  ☆46Updated last year
• Brett-Kennedy / ikNN
  An interpretable kNN based on aggregating the predictions of multiple 2d spaces.
  ☆13Updated last year
• scikit-learn-contrib / hiclass
  A python library for hierarchical classification compatible with scikit-learn
  ☆136Updated 9 months ago
• snehankekre / streamlit-shap
  streamlit-shap provides a wrapper to display SHAP plots in Streamlit.
  ☆89Updated 3 years ago
• david26694 / sktools
  Helpers for scikit learn
  ☆16Updated 3 years ago