Alternatives and similar repositories for synthetic-data-tutorial

Users that are interested in synthetic-data-tutorial are comparing it to the libraries listed below

• DataResponsibly / DataSynthesizer
  ☆271Updated last year
• dssg / triage
  General Purpose Risk Modeling and Prediction Toolkit for Policy and Social Good Problems
  ☆194Updated 2 weeks ago
• oegedijk / rule_estimator
  A scikit-learn compatible estimator based on business-rules with interactive dashboard included
  ☆28Updated 4 years ago
• jphall663 / hc_ml
  Slides, videos and other potentially useful artifacts from various presentations on responsible machine learning.
  ☆22Updated 5 years ago
• cosmicBboy / themis-ml
  A library that implements fairness-aware machine learning algorithms
  ☆126Updated 4 years ago
• wwwjk366 / gower
  Python package for Gower distance
  ☆80Updated last year
• ColtAllen / btyd
  Buy Till You Die and Customer Lifetime Value statistical models in Python.
  ☆117Updated last year
• joelcthomas / modeldrift
  Capturing model drift and handling its response - Example webinar
  ☆108Updated 6 years ago
• drivendataorg / nbautoexport
  Automatically export Jupyter notebooks to various file formats (.py, .html, and more) on save.
  ☆81Updated 2 weeks ago
• linkedin / LiFT
  The LinkedIn Fairness Toolkit (LiFT) is a Scala/Spark library that enables the measurement of fairness in large scale machine learning wo…
  ☆171Updated 2 years ago
• crmne / cookiecutter-modern-datascience
  Start a data science project with modern tools
  ☆201Updated 2 years ago
• drivendataorg / deon
  A command line tool to easily add an ethics checklist to your data science projects.
  ☆299Updated 2 weeks ago
• opendp / smartnoise-samples
  Code samples and documentation for SmartNoise differential privacy tools
  ☆134Updated 3 years ago
• amueller / dabl
  Data Analysis Baseline Library
  ☆133Updated 10 months ago
• Automunge / AutoMunge
  Tabular feature encoding pipelines for machine learning with options for string parsing, missing data infill, and stochastic perturbation…
  ☆165Updated 2 months ago
• anodot / MLWatcher
  ☆96Updated 5 years ago
• koaning / scikit-fairness
  this repo might get accepted
  ☆28Updated 4 years ago
• eugeneyan / papermill-mlflow
  🧪 Simple data science experimentation & tracking with jupyter, papermill, and mlflow.
  ☆182Updated last year
• Affirm / shparkley
  Spark implementation of computing Shapley Values using monte-carlo approximation
  ☆76Updated 2 years ago
• Bergvca / pyspark_dist_explore
  Data Exploration in PySpark made easy - Pyspark_dist_explore provides methods to get fast insights in your Spark DataFrames.
  ☆102Updated 6 years ago
• tonyleidong / OptimalFlow
  OptimalFlow is an omni-ensemble and scalable automated machine learning Python toolkit, which uses Pipeline Cluster Traversal Experiments…
  ☆27Updated last year
• MAIF / eurybia
  ⚓ Eurybia monitors model drift over time and securizes model deployment with data validation
  ☆213Updated 10 months ago
• moj-analytical-services / splink_demos
  Interactive notebooks containing demonstration code of the splink library
  ☆39Updated last year
• dslp / dslp-repo-template
  Template repository for data science lifecycle project
  ☆197Updated 5 years ago
• kylegallatin / components-of-an-ml-system
  ☆11Updated 2 years ago
• canyon289 / PyTestforDataScience_PyDataLA
  Pytest for Data Science Beginners
  ☆59Updated 6 years ago
• DPBayes / twinify
  A software package for privacy-preserving generation of a synthetic twin to a given sensitive data set.
  ☆56Updated last year
• MaartenGr / UnitTesting
  Guide for applying Unit Testing in data-driven projects
  ☆21Updated 5 years ago
• EpistasisLab / Aliro
  Aliro: AI-Driven Data Science
  ☆234Updated 11 months ago
• ing-bank / industry2vec
  ☆29Updated 6 years ago