Alternatives and similar repositories for fast_ml

Users that are interested in fast_ml 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 6 months ago
• khuyentran1401 / pretty-print-confusion-matrix
  Confusion Matrix in Python: plot a pretty confusion matrix (like Matlab) in python using seaborn and matplotlib
  ☆19Updated 3 years ago
• NITRO-AI / NitroFE
  NitroFE is a Python feature engineering engine which provides a variety of modules designed to internally save past dependent values for …
  ☆107Updated 3 years ago
• atif-hassan / FRUFS
  An unsupervised feature selection technique using supervised algorithms such as XGBoost
  ☆90Updated last year
• formlio / forml
  ForML - A development framework and MLOps platform for the lifecycle management of data science projects
  ☆106Updated 2 years ago
• tvdboom / ATOM
  Automated Tool for Optimized Modelling
  ☆159Updated last year
• edublancas / ml-testing
  🐍 Material for PyData Global 2021 Presentation: Effective Testing for Machine Learning Projects
  ☆82Updated 3 years 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
• Spratiher9 / Sparkora
  Powerful rapid automatic EDA and feature engineering library with a very easy to use API 🌟
  ☆53Updated 3 years ago
• AutoViML / deep_autoviml
  Build tensorflow keras model pipelines in a single line of code. Now with mlflow tracking. Created by Ram Seshadri. Collaborators welcome…
  ☆121Updated last year
• cpa-analytics / embedding-encoder
  Scikit-Learn compatible transformer that turns categorical variables into dense entity embeddings.
  ☆41Updated 2 years ago
• koaning / scikit-partial
  Pipeline components that support partial_fit.
  ☆46Updated last year
• ivanlen / pipreqsnb
  pipreqs with jupyter notebook support
  ☆70Updated 2 years ago
• iterative / cml_base_case
  ☆20Updated last year
• ianozsvald / dtype_diet
  Tries to shrink your Pandas column dtypes with no data loss so you have more spare RAM
  ☆84Updated last year
• ykwon0407 / WeightedSHAP
  WeightedSHAP: analyzing and improving Shapley based feature attributions (NeurIPS 2022)
  ☆160Updated 2 years ago
• taknev83 / pywedge
  Makes Interactive Chart Widget, Cleans raw data, Runs baseline models, Interactive hyperparameter tuning & tracking
  ☆55Updated 3 years ago
• AidanCooper / shap-clustering
  How to use SHAP values for better cluster analysis
  ☆59Updated 3 years ago
• solegalli / feature_engine
  Feature engineering package with sklearn like functionality
  ☆55Updated 11 months ago
• Galileo-Galilei / kedro-mlflow-tutorial
  A tutorial on how to use kedro-mlflow plugin (https://github.com/Galileo-Galilei/kedro-mlflow) to synchronize training and inference and …
  ☆39Updated 3 years ago
• kinir / catboost-with-pipelines
  Example of using catboost regressor with sklearn pipelines.
  ☆12Updated 5 years ago
• smazzanti / are_you_still_using_elbow_method
  ☆150Updated 2 years ago
• rxavier / poniard
  Streamline scikit-learn model comparison.
  ☆144Updated 2 years ago
• khuyentran1401 / prefect-docker
  Demo on how to use Prefect with Docker
  ☆27Updated 2 years ago
• jaswinder9051998 / zoofs
  zoofs is a python library for performing feature selection using a variety of nature-inspired wrapper algorithms. The algorithms range fr…
  ☆248Updated 2 months ago
• decile-team / spear
  SPEAR: Programmatically label and build training data quickly.
  ☆108Updated last year
• ahmed-mohamed-sn / ATgfe
  Automated Transparent Genetic Feature Engineering
  ☆22Updated 2 years ago
• MartinWeigl / pycaleva
  A framework for calibration measurement of binary probabilistic models
  ☆28Updated last year
• DanilZherebtsov / verstack
  ☆100Updated 3 weeks ago
• david26694 / sktools
  Helpers for scikit learn
  ☆16Updated 2 years ago