Alternatives and similar repositories for Machine-Learning-Ethics-References

Users that are interested in Machine-Learning-Ethics-References are comparing it to the libraries listed below

• emergingtechpolicy / awesome-ai-fairness
  Awesome list of AI Fairness tools, research papers, tutorials and any other relevant materials. For use by data scientists, AI engineers …
  ☆16Updated 6 years ago
• numfocus / algorithm-ethics
  A collection of resources and tools designed to provide guidelines for ethical modeling.
  ☆72Updated 4 years ago
• algofairness / BlackBoxAuditing
  Research code for auditing and exploring black box machine-learning models.
  ☆132Updated 2 years ago
• rockita / criticalML
  Toward ethical, transparent and fair AI/ML: a critical reading list for engineers, designers, and policy makers
  ☆368Updated 6 years ago
• EthicalML / explainability-and-bias
  ☆103Updated 2 years ago
• columbia / fairtest
  ☆58Updated 4 years ago
• ayong8 / FairSight
  A visual analytic system for fair data-driven decision making
  ☆26Updated 2 years ago
• LASER-UMASS / Themis
  Themis™ is a software fairness tester.
  ☆106Updated 5 years ago
• LeapBeyond / scrubadub_spacy
  Clean personally identifiable information from dirty dirty text using spaCy.
  ☆41Updated 2 years ago
• jphall663 / secure_ML_ideas
  Practical ideas on securing machine learning models
  ☆36Updated 4 years ago
• lmcinnes / subreddit_mapping
  Notebooks and data associated to constructing and exploring a map of subreddits.
  ☆55Updated 8 years ago
• theodi / synthetic-data-tutorial
  A hands-on tutorial showing how to use Python to do anonymisation with synthetic data
  ☆80Updated 3 years ago
• conversationai / wikidetox
  Experiments to help discussion on Wikipedia talk pages
  ☆68Updated 2 months 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…
  ☆172Updated 2 years ago
• algofairness / fairness-comparison
  Comparing fairness-aware machine learning techniques.
  ☆160Updated 2 years ago
• navdeep-G / interpretable-ml
  Techniques & resources for training interpretable ML models, explaining ML models, and debugging ML models.
  ☆21Updated 3 years ago
• tcsai / data-mining
  Resources for the Data Mining for Bussiness and Governance course.
  ☆55Updated 5 years ago
• weehyong / MLScore
  Know your ML Score based on Sculley's paper
  ☆34Updated 6 years ago
• jphall663 / xai_misconceptions
  Preprint/draft article/blog on some explainable machine learning misconceptions. WIP!
  ☆29Updated 6 years ago
• JRMeyer / markdown-datasheet-for-datasets
  Markdown template for Dataseets for Datasets
  ☆63Updated 3 years ago
• pymetrics / audit-ai
  detect demographic differences in the output of machine learning models or other assessments
  ☆318Updated 5 years ago
• survivalofthebestfit / survivalofthebestfit
  An interactive simulation to explain algorithmic bias.
  ☆68Updated last year
• fnielsen / awesome-covid-19-resources
  A curated list of awesome resources for COVID-19
  ☆37Updated 5 years ago
• oskar-j / awesome-text-ml
  A curated list of ML awesome frameworks & libraries for text data
  ☆16Updated 2 years ago
• cosmicBboy / themis-ml
  A library that implements fairness-aware machine learning algorithms
  ☆127Updated 5 years ago
• explosion / talks
  💥 Browser-based slides or PDFs of our talks and presentations
  ☆94Updated 6 years ago
• RaRe-Technologies / talks
  Presentations & notebooks from our talks /workshops/meetups/etc
  ☆24Updated 7 years ago
• drivendataorg / deon
  A command line tool to easily add an ethics checklist to your data science projects.
  ☆302Updated 2 months ago
• erinhengel / Textatistic
  Calculate readability scores
  ☆43Updated 6 years ago
• sudharshan-ashok / pycovid
  Python package to easily access the most updated Coronavirus data using Python/PIP
  ☆59Updated 5 years ago