Alternatives and similar repositories for synthetic-data-tutorial:

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

• jphall663 / secure_ML_ideas
  Practical ideas on securing machine learning models
  ☆36Updated 3 years ago
• dssg / triage
  General Purpose Risk Modeling and Prediction Toolkit for Policy and Social Good Problems
  ☆192Updated last week
• oegedijk / rule_estimator
  A scikit-learn compatible estimator based on business-rules with interactive dashboard included
  ☆28Updated 3 years ago
• koaning / scikit-fairness
  this repo might get accepted
  ☆28Updated 4 years ago
• DataResponsibly / DataSynthesizer
  ☆265Updated last year
• wwwjk366 / gower
  Python package for Gower distance
  ☆77Updated 11 months ago
• bnh-ai / resources
  ☆26Updated 4 years ago
• ing-bank / spark-matcher
  Record matching and entity resolution at scale in Spark
  ☆34Updated last year
• eugeneyan / python-collab-template
  🛠 Python project template with unit tests, code coverage, linting, type checking, Makefile wrapper, and GitHub Actions.
  ☆145Updated last year
• fugue-project / tune
  An abstraction layer for parameter tuning
  ☆35Updated 7 months ago
• sdv-dev / RDT
  A library of Reversible Data Transforms
  ☆124Updated 2 weeks ago
• darenasc / auto-eda
  Automated Exploratory Data Analysis. Simplifying Data Exploration
  ☆34Updated 4 years ago
• Ashton-Sidhu / aethos
  Automated Data Science and Machine Learning library to optimize workflow.
  ☆104Updated 2 years ago
• PythonPredictions / cobra
  A Python package to build predictive linear and logistic regression models focused on performance and interpretation
  ☆30Updated last year
• 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 last year
• cosmicBboy / themis-ml
  A library that implements fairness-aware machine learning algorithms
  ☆124Updated 4 years ago
• alan-turing-institute / QUIPP-pipeline
  Privacy preserving synthetic data generation workflows
  ☆20Updated 3 years ago
• ing-bank / industry2vec
  ☆28Updated 6 years ago
• joelcthomas / modeldrift
  Capturing model drift and handling its response - Example webinar
  ☆108Updated 5 years ago
• moj-analytical-services / splink_demos
  Interactive notebooks containing demonstration code of the splink library
  ☆38Updated last year
• PAIR-code / datacardsplaybook
  The Data Cards Playbook helps dataset producers and publishers adopt a people-centered approach to transparency in dataset documentation.
  ☆179Updated 10 months 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
• Baukebrenninkmeijer / table-evaluator
  Evaluate real and synthetic datasets against each other
  ☆86Updated 3 months ago
• poloclub / timbertrek
  Explore and compare 1K+ accurate decision trees in your browser!
  ☆160Updated last year
• jphall663 / hc_ml
  Slides, videos and other potentially useful artifacts from various presentations on responsible machine learning.
  ☆22Updated 5 years ago
• tirthajyoti / Synthetic-data-gen
  Various methods for generating synthetic data for data science and ML
  ☆79Updated 3 years ago
• Spratiher9 / SparkDataset
  Instant search for and access to many datasets in Pyspark.
  ☆34Updated 2 years ago
• alteryx / categorical_encoding
  Repository for the research and implementation of categorical encoding into a Featuretools-compatible Python library
  ☆51Updated 2 years ago
• smazzanti / valicast
  Validation for forecasts
  ☆18Updated 2 years ago
• jphall663 / GWU_rml
  ☆36Updated this week