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.
  ☆146Updated 2 years ago
• probabl-ai / youtube-appendix
  Resources for some of our education content
  ☆35Updated 2 weeks ago
• AutoViML / pandas_dq
  Find data quality issues and clean your data in a single line of code with a Scikit-Learn compatible Transformer.
  ☆128Updated last year
• poloclub / timbertrek
  Explore and compare 1K+ accurate decision trees in your browser!
  ☆159Updated 11 months ago
• fugue-project / tune
  An abstraction layer for parameter tuning
  ☆35Updated 5 months 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.
  ☆64Updated 2 weeks ago
• solegalli / feature_engine
  Feature engineering package with sklearn like functionality
  ☆52Updated 5 months ago
• 6chaoran / jupyter-summarytools
  summarytools in jupyter notebook
  ☆103Updated 5 months ago
• amueller / aml
  Applied Machine Learning with Python
  ☆77Updated 10 months ago
• soda-inria / survival-analysis-benchmark
  Exploratory repository to study predictive survival analysis models
  ☆31Updated last year
• gianlucamalato / collinearity
  A Python libreary for removing collinearity
  ☆28Updated 3 years ago
• atif-hassan / FRUFS
  An unsupervised feature selection technique using supervised algorithms such as XGBoost
  ☆89Updated last year
• koaning / scikit-partial
  Pipeline components that support partial_fit.
  ☆45Updated 7 months ago
• carbonfact / icanexplain
  📊 Explain why metrics change by unpacking them
  ☆35Updated last month
• RianneSchouten / pyampute
  Missing data amputation and exploration functions for Python
  ☆67Updated 2 years ago
• edublancas / ml-testing
  🐍 Material for PyData Global 2021 Presentation: Effective Testing for Machine Learning Projects
  ☆81Updated 3 years ago
• data-science-lab-amsterdam / skippa
  SciKIt-learn Pipeline in PAndas
  ☆42Updated last year
• 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
• lucazav / binclass-tools
  The binclass-tools package contains a set of Python wrappers and interactive plots that facilitate the analysis of binary classification …
  ☆76Updated last year
• oegedijk / rule_estimator
  A scikit-learn compatible estimator based on business-rules with interactive dashboard included
  ☆28Updated 3 years ago
• koaning / memo
  Decorators that logs stats.
  ☆108Updated last year
• outerbounds / dsbook
  Code samples for the Effective Data Science Infrastructure book
  ☆113Updated last year
• drivendataorg / nbautoexport
  Automatically export Jupyter notebooks to various file formats (.py, .html, and more) on save.
  ☆75Updated last year
• Graphlet-AI / graphml-class
  Full Stack Graph Machine Learning: Theory, Practice, Tools and Techniques
  ☆72Updated 2 weeks ago
• fonnesbeck / probabilistic_python
  PyData London 2022 Tutorial
  ☆66Updated 2 years ago
• sktime / sktime-tutorial-pydata-berlin-2022
  ☆39Updated 2 years ago
• AidanCooper / shap-analysis-guide
  How to Interpret SHAP Analyses: A Non-Technical Guide
  ☆51Updated 3 years ago
• lorentzenchr / model-diagnostics
  Tools for diagnostics and assessment of (machine learning) models
  ☆34Updated this week
• ddelange / mapply
  Sensible multi-core apply function for Pandas
  ☆79Updated 2 weeks ago
• JesperDramsch / ml.recipes
  Increase citations, ease review & collaboration A collection of "easy wins" to make machine learning in research reproducible. This tut…
  ☆74Updated 2 months ago