Alternatives and similar repositories for decorators4DS

Users that are interested in decorators4DS are comparing it to the libraries listed below

• koaning / tokenwiser
  Bag of, not words, but tricks!
  ☆68Updated last year
• ottogroup / dstoolbox
  Tools that make working with scikit-learn and pandas easier.
  ☆44Updated last year
• DomainGroupOSS / ml-recsys-tools
  ☆16Updated 6 years ago
• tgsmith61591 / skoot
  A package for data science practitioners. This library implements a number of helpful, common data transformations with a scikit-learn fr…
  ☆57Updated 4 years ago
• fritshermans / pyminhash
  MinHash implementation in Python
  ☆11Updated 10 months ago
• ShopRunner1 / octopod
  Train multi-task image, text, or ensemble (image + text) models
  ☆45Updated last year
• dkn22 / embedder
  Embed categorical variables via neural networks.
  ☆59Updated 2 years ago
• peopledoc / mlvtools
  Public repository for versioning machine learning data
  ☆42Updated 3 years ago
• pcerda / string_categorical_encoders
  Scripts for paper "Encoding high-cardinality string categorical variables"
  ☆24Updated 5 years ago
• peopledoc / mlvtools-tutorial
  Tutorial for a new versioning Machine Learning pipeline
  ☆80Updated 3 years ago
• aredier / trelawney
  General Interpretability Package
  ☆58Updated 2 years ago
• klemag / PyconUS_2019-model-interpretability-tutorial
  Content for the Model Interpretability Tutorial at Pycon US 2019
  ☆41Updated 10 months ago
• koaning / scikit-fairness
  this repo might get accepted
  ☆28Updated 4 years ago
• dominodatalab / domino-research
  Projects developed by Domino's R&D team
  ☆76Updated 3 years ago
• fritshermans / deduplipy
  Python package for deduplication/entity resolution using active learning
  ☆80Updated 10 months ago
• anhaidgroup / py_stringsimjoin
  Scalable String Similarity Joins in Python
  ☆39Updated 11 months ago
• jphall663 / kdd_2019
  Paper and talk from KDD 2019 XAI Workshop
  ☆20Updated 5 years ago
• edublancas / ml-testing
  🐍 Material for PyData Global 2021 Presentation: Effective Testing for Machine Learning Projects
  ☆81Updated 3 years ago
• 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.
  ☆102Updated 3 years ago
• jeremyjordan / model_test
  A proof of concept library for generating and running machine learning model tests
  ☆13Updated 4 years ago
• alteryx / predict-household-poverty
  Predict the poverty of households in Costa Rica using automated feature engineering.
  ☆23Updated 4 years ago
• georgian-io-archive / automl_benchmark
  Distributed, large-scale, benchmarking framework for rigorous assessment of automatic machine learning repositories, projects, and librar…
  ☆30Updated 3 years ago
• lopusz / pydata-berlin-2018
  ☆15Updated 6 years ago
• koaning / memo
  Decorators that logs stats.
  ☆112Updated 3 months ago
• hiredscorelabs / tamnun-ml
  An easy to use open-source library for advanced Deep Learning and Natural Language Processing
  ☆112Updated 11 months ago
• koaning / scikit-partial
  Pipeline components that support partial_fit.
  ☆46Updated 11 months ago
• brain-research / data-linter
  The Data Linter identifies potential issues (lints) in your ML training data.
  ☆88Updated 7 years ago
• InsightDataScience / Sherlock
  ☆14Updated 2 years ago
• facultyai / lens
  Summarise and explore Pandas DataFrames
  ☆98Updated 4 years ago
• amueller / dabl
  Data Analysis Baseline Library
  ☆132Updated 8 months ago