Alternatives and similar repositories for fair-ml-reading-group

Users that are interested in fair-ml-reading-group are comparing it to the libraries listed below

• weehyong / MLScore
  Know your ML Score based on Sculley's paper
  ☆34Updated 6 years ago
• MI2DataLab / pyBreakDown
  Python implementation of R package breakDown
  ☆43Updated 2 years ago
• yoshavit / fairml-farm
  A collection of implementations of fair ML algorithms
  ☆12Updated 7 years ago
• microsoft / AdversarialGMM
  Minimax Estimation of Conditional Moment Models
  ☆31Updated 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
• google-research / sloe-logistic
  ☆29Updated last year
• wilsonjr / ClusterShapley
  Explaining dimensionality results using SHAP values
  ☆55Updated 10 months ago
• fastai / ethics.fast.ai
  The fast.ai data ethics course
  ☆17Updated 2 years ago
• morganmcg1 / ntentional
  The ntentional blog - a machine learning journey
  ☆23Updated 3 years ago
• lopusz / pydata-berlin-2018
  ☆15Updated 7 years ago
• koaning / scikit-fairness
  this repo might get accepted
  ☆28Updated 4 years ago
• Coleridge-Initiative / rclc
  Rich Context leaderboard competition, including the corpus and current SOTA for required tasks.
  ☆22Updated 4 years ago
• poloclub / people-map
  Visualization Tool for Mapping Out Researchers using Natural Language Processing
  ☆59Updated last year
• LeihuaYe / Causal-Inference-Using-Quasi-Experimental-Methods
  Causal Inference Using Quasi-Experimental Methods
  ☆20Updated 4 years ago
• koaning / brent
  bayesian graphical modelling and a bit of do-calculus for discrete data.
  ☆27Updated 5 years ago
• ModelOriented / pyCeterisParibus
  Python library for Ceteris Paribus Plots (What-if plots)
  ☆26Updated 4 years ago
• SelfExplainML / Aletheia
  A Python package for unwrapping ReLU DNNs
  ☆68Updated last year
• luke14free / bulldog
  State management framework for Data Science & Analytics
  ☆19Updated 6 years ago
• fairlearn / talks
  Talks / presentations / tutorials about Fairlearn and fairness in ML
  ☆22Updated 3 years ago
• joelgrus / odscnet
  repo for my ODSC West 2017 Talk: "Livecoding Madness: Let's Build a Deep Learning Library"
  ☆13Updated 8 years ago
• muellerzr / fastai2-Tabular-Baselines
  A few baselines with a standard tabular model
  ☆38Updated 5 years ago
• probml / bandits
  Bayesian Bandits
  ☆68Updated 2 years ago
• TutteInstitute / vectorizers
  Vectorizers for a range of different data types
  ☆103Updated last month
• EthicalML / explainability-and-bias
  ☆103Updated 2 years ago
• jphall663 / secure_ML_ideas
  Practical ideas on securing machine learning models
  ☆36Updated 4 years ago
• fastai / fastsql1
  A bit of extra usability for sqlalchemy v2.
  ☆78Updated last year
• jphall663 / kdd_2019
  Paper and talk from KDD 2019 XAI Workshop
  ☆20Updated 5 years ago
• GaelVaroquaux / interpreting_ml_tuto
  Tutorial on interpreting and understanding machine learning models
  ☆69Updated 7 years ago
• FlorianWilhelm / polars_vs_pandas
  Comparing Polars to Pandas and a small introduction
  ☆44Updated 4 years ago
• RickardKarl / causal-falsify
  causal-falsify: A Python library with algorithms for falsifying unconfoundedness assumption in a composite dataset from multiple sources.
  ☆35Updated 2 months ago