Alternatives and similar repositories for bias-in-credit-models:

Users that are interested in bias-in-credit-models are comparing it to the libraries listed below

• jphall663 / GWU_rml
  ☆35Updated this week
• firmai / ml-fairness-framework
  FairPut - Machine Learning Fairness Framework with LightGBM — Explainability, Robustness, Fairness (by @firmai)
  ☆70Updated 3 years ago
• parulsethi / Information-extraction-tutorial
  Teaching material and other info associated with the Information Extraction using Topic Models tutorial at SciPy US 2018.
  ☆19Updated 6 years ago
• dtriepke / nlp_model_selection_app
  ☆16Updated 4 years ago
• jphall663 / xai_misconceptions
  Preprint/draft article/blog on some explainable machine learning misconceptions. WIP!
  ☆28Updated 5 years ago
• MaartenGr / UnitTesting
  Guide for applying Unit Testing in data-driven projects
  ☆19Updated 4 years ago
• lydiatliu / delayedimpact
  Code for reproducing results in Delayed Impact of Fair Machine Learning (Liu et al 2018)
  ☆14Updated 2 years ago
• SimonOuellette35 / PyData-talk---Intro-to-PyMC3
  Companion code for my PyData talk: "Introduction to Probabilistic Programming with PyMC3"
  ☆13Updated 5 years ago
• samuelbroscheit / neural-profet
  ☆10Updated 7 months ago
• EricSchles / drifter_ml
  A machine learning testing framework for sklearn and pandas. The goal is to help folks assess whether things have changed over time.
  ☆101Updated 3 years ago
• shivam5992 / aster
  a python based module (bot) to generate kaggle baseline kernels
  ☆26Updated 6 years ago
• allenai / aiconf-allennlp-tutorial
  allennlp tutorial for O'Reilly AI Conference, September 2019
  ☆22Updated 5 years ago
• jphall663 / responsible_xai
  Guidelines for the responsible use of explainable AI and machine learning.
  ☆17Updated last year
• koaning / scikit-fairness
  this repo might get accepted
  ☆29Updated 3 years ago
• fastai / ethics.fast.ai
  The fast.ai data ethics course
  ☆14Updated last year
• raghavbali / appliedml_workshop_dhs_av_2019
  Content for Applied ML Workshop @ DataHack Summit 2019
  ☆25Updated 5 years ago
• moocarme / pydata_2018
  Repo for PyData 2018 tuorial
  ☆12Updated 6 years ago
• dkn22 / embedder
  Embed categorical variables via neural networks.
  ☆59Updated last year
• rozester / LinkedIn-Comments-Analyzer
  Extracting LinkedIn comments from any post and export it to Excel file
  ☆23Updated 6 years ago
• medoidai / ts-changepoint-detection-app
  An R/Shiny app for time-series segmentation and changepoint detection tasks.
  ☆17Updated 4 years ago
• Vishwacorp / nyc_uber_forecasting
  Forecasting Uber demand in NYC neighborhoods
  ☆34Updated 6 years ago
• tdubon / study_notes
  Repo contains Jupyter notebooks compiled during my review of the programming books listed.
  ☆13Updated 2 years ago
• jphall663 / secure_ML_ideas
  Practical ideas on securing machine learning models
  ☆36Updated 3 years ago
• rajat5ranjan / AV-Quantum-Black-Data-Engineering-Hackathon
  Quantum Black Hackathon organised by Analytics Vidya
  ☆12Updated 5 years ago
• matchado / Misc
  ☆13Updated 4 years ago
• aschleg / hypothetical
  Hypothesis and statistical testing in Python
  ☆64Updated 4 years ago
• MI2DataLab / pyBreakDown
  Python implementation of R package breakDown
  ☆42Updated last year
• aredier / trelawney
  General Interpretability Package
  ☆58Updated 2 years ago
• leenamurgai / debias-ml
  A practical, explainable and effective method for reducing bias in machine learning algorithms.
  ☆21Updated 4 years ago