Alternatives and similar repositories for pipreqsnb

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

• rxavier / poniard
  Streamline scikit-learn model comparison.
  ☆145Updated 2 years ago
• fugue-project / tune
  An abstraction layer for parameter tuning
  ☆35Updated 9 months ago
• AutoViML / pandas_dq
  Find data quality issues and clean your data in a single line of code with a Scikit-Learn compatible Transformer.
  ☆130Updated last year
• solegalli / feature_engine
  Feature engineering package with sklearn like functionality
  ☆54Updated 9 months ago
• ilias-ant / adversarial-validation
  A tiny framework to perform adversarial validation of your training and test data.
  ☆21Updated 4 months ago
• oegedijk / rule_estimator
  A scikit-learn compatible estimator based on business-rules with interactive dashboard included
  ☆28Updated 3 years ago
• atif-hassan / FRUFS
  An unsupervised feature selection technique using supervised algorithms such as XGBoost
  ☆90Updated last year
• soda-inria / survival-analysis-benchmark
  Exploratory repository to study predictive survival analysis models
  ☆34Updated 2 years ago
• data-science-lab-amsterdam / skippa
  SciKIt-learn Pipeline in PAndas
  ☆42Updated last year
• drivendataorg / nbautoexport
  Automatically export Jupyter notebooks to various file formats (.py, .html, and more) on save.
  ☆77Updated last year
• poloclub / timbertrek
  Explore and compare 1K+ accurate decision trees in your browser!
  ☆162Updated last year
• probabl-ai / youtube-appendix
  Resources for some of our education content
  ☆41Updated 4 months ago
• Spratiher9 / Sparkora
  Powerful rapid automatic EDA and feature engineering library with a very easy to use API 🌟
  ☆53Updated 3 years ago
• 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 4 months ago
• ddelange / mapply
  Sensible multi-core apply function for Pandas
  ☆82Updated 2 weeks 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
• carbonfact / icanexplain
  📊 Explain why metrics change by unpacking them
  ☆38Updated this week
• kedro-org / awesome-kedro
  Plugins, extensions, case studies, articles, and video tutorials for Kedro
  ☆77Updated 5 months ago
• smazzanti / valicast
  Validation for forecasts
  ☆18Updated 2 years ago
• saattrupdan / doubt
  Bringing back uncertainty to machine learning.
  ☆51Updated 11 months ago
• kaislar / ds_template
  ☆38Updated 2 years ago
• khuyentran1401 / prefect-docker
  Demo on how to use Prefect with Docker
  ☆25Updated 2 years ago
• koaning / memo
  Decorators that logs stats.
  ☆112Updated 2 months ago
• edublancas / ml-testing
  🐍 Material for PyData Global 2021 Presentation: Effective Testing for Machine Learning Projects
  ☆81Updated 3 years ago
• koaning / scikit-prune
  Prune your sklearn models
  ☆19Updated 7 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 …
  ☆76Updated 2 years ago
• khuyentran1401 / customer_segmentation
  An end-to-end project on customer segmentation
  ☆81Updated 2 years ago
• lorentzenchr / model-diagnostics
  Tools for diagnostics and assessment of (machine learning) models
  ☆35Updated 3 months ago
• hsbc / tslumen
  A library for Time Series EDA (exploratory data analysis)
  ☆69Updated 9 months ago
• gianlucamalato / collinearity
  A Python libreary for removing collinearity
  ☆29Updated 3 years ago