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
  ☆267Updated last year
• wwwjk366 / gower
  Python package for Gower distance
  ☆78Updated last year
• oegedijk / rule_estimator
  A scikit-learn compatible estimator based on business-rules with interactive dashboard included
  ☆28Updated 3 years ago
• cosmicBboy / themis-ml
  A library that implements fairness-aware machine learning algorithms
  ☆125Updated 4 years ago
• jphall663 / hc_ml
  Slides, videos and other potentially useful artifacts from various presentations on responsible machine learning.
  ☆22Updated 5 years ago
• sid-the-coder / QuickDA
  Simple & Easy-to-use python modules to perform Quick Exploratory Data Analysis for any structured dataset!
  ☆104Updated 2 years ago
• jphall663 / secure_ML_ideas
  Practical ideas on securing machine learning models
  ☆36Updated 4 years ago
• dssg / triage
  General Purpose Risk Modeling and Prediction Toolkit for Policy and Social Good Problems
  ☆192Updated this week
• interpretml / gam-changer
  Editing machine learning models to reflect human knowledge and values
  ☆126Updated last year
• AnalyticsInsightsNinja / Python_TidyData
  How to use Python to understand data and transform the data into a tidy format ready to be used for modelling and visualisation.
  ☆37Updated 5 years ago
• moj-analytical-services / splink_demos
  Interactive notebooks containing demonstration code of the splink library
  ☆38Updated last year
• DPBayes / twinify
  A software package for privacy-preserving generation of a synthetic twin to a given sensitive data set.
  ☆53Updated 9 months ago
• jphall663 / GWU_rml
  ☆37Updated last month
• tonyleidong / OptimalFlow
  OptimalFlow is an omni-ensemble and scalable automated machine learning Python toolkit, which uses Pipeline Cluster Traversal Experiments…
  ☆27Updated last year
• amueller / dabl
  Data Analysis Baseline Library
  ☆132Updated 8 months ago
• BCG-X-Official / sklearndf
  DataFrame support for scikit-learn.
  ☆63Updated last year
• thampiman / interpretability
  Interpretability Techniques to Build Robust AI Applications
  ☆39Updated 5 years ago
• darenasc / auto-eda
  Automated Exploratory Data Analysis. Simplifying Data Exploration
  ☆36Updated 5 years 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
• bnh-ai / resources
  ☆26Updated 4 years ago
• alteryx / predict-correct-answer
  Predict whether a student will correctly answer a problem based on past performance using automated feature engineering
  ☆32Updated 4 years ago
• Affirm / shparkley
  Spark implementation of computing Shapley Values using monte-carlo approximation
  ☆74Updated 2 years ago
• ing-bank / spark-matcher
  Record matching and entity resolution at scale in Spark
  ☆34Updated last year
• ing-bank / industry2vec
  ☆29Updated 6 years ago
• VIDA-NYU / openclean
  openclean - Data Cleaning and data profiling library for Python
  ☆79Updated 3 years ago
• edublancas / ml-testing
  🐍 Material for PyData Global 2021 Presentation: Effective Testing for Machine Learning Projects
  ☆81Updated 3 years ago
• joelcthomas / modeldrift
  Capturing model drift and handling its response - Example webinar
  ☆108Updated 5 years ago
• ehart-altair / SimpsonsParadox
  Function for automatically detecting Simpson's Paradox
  ☆18Updated 4 years ago
• capeprivacy / cape-dataframes
  Privacy transformations on Spark and Pandas dataframes backed by a simple policy language.
  ☆174Updated last year
• microsoft / ml-wrappers
  A unified wrapper for various ML frameworks - to have one uniform scikit-learn format for predict and predict_proba functions.
  ☆48Updated 5 months ago