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abigsurvey

A collection of 700+ survey papers on Natural Language Processing (NLP) and Machine Learning (ML)

apps-script-samples

Apps Script samples for G Suite products.

beta-tcvae

code for "Isolating Sources of Disentanglement in Variational Autoencoders".

bias-mitigation-examples

blackboxauditing

Research code for auditing and exploring black box machine-learning models.

causal-fairness

causal-inference-discussion

Jupyter notebook from our causal inference discussion

causaleffect

causaleffect: R package for identifying causal effects.

cevae

Causal Effect Inference with Deep Latent-Variable Models

cevae_pytorch

cf-vae

Supplementary material for CF-VAE

cffair_emulate

⚖️ Emulate the Counterfactual Fairness (2017 Kusner et al.) results in Python

cfrnet

Counterfactual Regression

counterfactual-fairness

Code for "Counterfactual Fairness" (NIPS2017)

counterfactual-fairness-1

coursera-machine-learning

Coursera's Machine Learning by Andrew Ng

covid19-age-related-causal-effects

Code and data for "Simpson's paradox in Covid-19 case fatality rates: a mediation analysis of age-related causal effects"

datasciencecoursera

Data Science Repo and blog for John Hopkins Coursera Courses. Please let me know if you have any questions.

deepmind-research

This repository contains implementations and illustrative code to accompany DeepMind publications

dmavae

Code for DMAVAE

dmlab2020vfae

Data Mining Lab 2020. The Variational Fair Autoencoder.

dvae.civ

Supplementary material for DVAE.CIV

ethik

:mag_right: A toolbox for fair and explainable machine learning

faht

Code for reproducing results in FAHT (IJCAI 19)

fair-inference-on-outcomes

fair-multiple-decision-making

fairlearn

A Python package to assess and improve fairness of machine learning models.

fairness-aware-classification

inequality-indices-fairness

Machine Learning fairness measurements using inequality indices

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