Alternatives and similar repositories for debias-ml:

Users that are interested in debias-ml are comparing it to the libraries listed below

• georgian-io-archive / automl_benchmark
  Distributed, large-scale, benchmarking framework for rigorous assessment of automatic machine learning repositories, projects, and librar…
  ☆30Updated 2 years ago
• koaning / scikit-fairness
  this repo might get accepted
  ☆29Updated 3 years ago
• MI2DataLab / pyBreakDown
  Python implementation of R package breakDown
  ☆42Updated last year
• bertilhatt / pydata_pres_small_sample
  Tutorial for PyData London 2019 on AB Test by cluster
  ☆13Updated 5 years ago
• CamDavidsonPilon / PyDataNY_2019_tutorial
  Repo for PyData 2019 Tutorial - New Trends in Estimation and Inference
  ☆26Updated 5 years ago
• TomAugspurger / dask-tutorial-odsc-2018
  ☆15Updated 2 years ago
• jphall663 / secure_ML_ideas
  Practical ideas on securing machine learning models
  ☆36Updated 3 years ago
• olivkoch / intro-to-reco
  introduction class to recommendation systems
  ☆22Updated 5 years ago
• YuriyGuts / odsc-target-leakage-workshop
  Workshop on Target Leakage in Machine Learning I taught at ODSC Europe 2018 (London) and ODSC East 2019, 2020 (Boston)
  ☆36Updated 4 years ago
• SauceCat / Nuance
  Visualization ideas for data science
  ☆19Updated 6 years ago
• lopusz / pydata-berlin-2018
  ☆15Updated 6 years ago
• morganmcg1 / ntentional
  The ntentional blog - a machine learning journey
  ☆23Updated 2 years ago
• jphall663 / kdd_2019
  Paper and talk from KDD 2019 XAI Workshop
  ☆20Updated 4 years ago
• ShopRunner / octopod
  Train multi-task image, text, or ensemble (image + text) models
  ☆45Updated last year
• summerscope / fair-ml-reading-group
  Reading history for Fair ML Reading Group in Melbourne
  ☆37Updated 3 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
• ralphhaygood / sklearn-gbmi
  scikit-learn gradient-boosting-model interactions
  ☆25Updated last year
• weehyong / MLScore
  Know your ML Score based on Sculley's paper
  ☆34Updated 5 years ago
• navdeep-G / interpretable-ml
  Techniques & resources for training interpretable ML models, explaining ML models, and debugging ML models.
  ☆21Updated 2 years ago
• lapolonio / text_classification_tutorial
  Enterprise Solution for Text Classification (using BERT)
  ☆10Updated 2 years ago
• thomasjpfan / skconfig
  Experimental library for sampling and validating scikit-learn parameters
  ☆10Updated 5 years ago
• capitalone / global-attribution-mapping
  GAM (Global Attribution Mapping) explains the landscape of neural network predictions across subpopulations
  ☆33Updated this week
• lucjb / hteng
  Hash Trick Engineering
  ☆11Updated 7 years ago
• fastai / ethics.fast.ai
  The fast.ai data ethics course
  ☆14Updated last year
• dkn22 / embedder
  Embed categorical variables via neural networks.
  ☆59Updated last year
• anj-s / kdd2018
  Hands-on workshop
  ☆38Updated 6 years ago
• FlorianWilhelm / lda4rec
  🧮 Extended Latent Dirichlet Allocation for Collaborative Filtering in Recommender Systems.
  ☆41Updated 2 years ago
• aredier / trelawney
  General Interpretability Package
  ☆58Updated 2 years ago
• fastforwardlabs / couples-lime
  Notebook demonstrating use of LIME to interpret a model of long-term relationship success
  ☆24Updated 7 years ago