Alternatives and similar repositories for python:

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

• data-describe / data-describe
  data⎰describe: Pythonic EDA Accelerator for Data Science
  ☆298Updated last year
• aredier / trelawney
  General Interpretability Package
  ☆58Updated 2 years ago
• amueller / sklearn-one-day
  One day workshop for machine learning with scikit-learn
  ☆63Updated last year
• hyosubkim / bayes-toolbox
  bayes-toolbox
  ☆93Updated last month
• RianneSchouten / pyampute
  Missing data amputation and exploration functions for Python
  ☆67Updated 2 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
• amueller / dabl
  Data Analysis Baseline Library
  ☆130Updated 2 months 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 …
  ☆106Updated 2 years ago
• alteryx / categorical_encoding
  Repository for the research and implementation of categorical encoding into a Featuretools-compatible Python library
  ☆51Updated 2 years ago
• sujitpal / keras-tutorial-odsc2020
  Notebooks for Keras Tutorial presented at ODSC West 2020
  ☆26Updated 4 years ago
• hypergol / hypergol
  Hypergol is a Data Science/Machine Learning productivity toolkit to accelerate any projects into production with autogenerated code, stan…
  ☆53Updated last year
• coiled / data-science-at-scale
  A Pythonic introduction to methods for scaling your data science and machine learning work to larger datasets and larger models, using th…
  ☆113Updated 2 years ago
• ianozsvald / dtype_diet
  Tries to shrink your Pandas column dtypes with no data loss so you have more spare RAM
  ☆83Updated last year
• bradyneal / causal-inference-books
  Flowchart to help choose which causal inference book to read. See https://bradyneal.github.io/which-causal-inference-book for more info s…
  ☆58Updated 5 years ago
• MaxHalford / naked
  The simplest way to deploy a machine learning model
  ☆23Updated 2 years ago
• lesteve / scikit-learn-tutorial
  This repo has moved to https://github.com/INRIA/scikit-learn-mooc/
  ☆41Updated 4 years ago
• alteryx / autonormalize
  python library for automated dataset normalization
  ☆113Updated last year
• chris1610 / sidetable
  sidetable builds simple but useful summary tables of your data
  ☆386Updated 2 years ago
• sky-uk / anticipy
  A Python library for time series forecasting
  ☆82Updated 2 years ago
• koaning / memo
  Decorators that logs stats.
  ☆107Updated last year
• ShopRunner / octopod
  Train multi-task image, text, or ensemble (image + text) models
  ☆45Updated last year
• kearnz / autoimpute
  Python package for Imputation Methods
  ☆244Updated last year
• taknev83 / pywedge
  Makes Interactive Chart Widget, Cleans raw data, Runs baseline models, Interactive hyperparameter tuning & tracking
  ☆55Updated 3 years ago
• neelindresh / pymlpipe
  ☆64Updated last year
• EricSchles / drifter_ml
  A machine learning testing framework for sklearn and pandas. The goal is to help folks assess whether things have changed over time.
  ☆101Updated 3 years ago
• formlio / forml
  ForML - A development framework and MLOps platform for the lifecycle management of data science projects
  ☆104Updated last year
• EthicalML / explainability-and-bias
  ☆101Updated last year