deho-oscar-blessed Goto Github PK

abcinml

ABCinML: Anticipatory Bias Correction in Machine Learning Applications

aif360

A comprehensive set of fairness metrics for datasets and machine learning models, explanations for these metrics, and algorithms to mitigate bias in datasets and models.

bias-mitigation-examples

compas-analysis

Data and analysis for 'Machine Bias'

dalex

moDel Agnostic Language for Exploration and eXplanation

data

Data and code behind the articles and graphics at FiveThirtyEight

data-science-blogs

A curated list of data science blogs

deeplearningmovies

Kaggle's competition for using Google's word2vec package for sentiment analysis

ethik

:mag_right: A toolbox for fair and explainable machine learning

evaluation-of-fairness-algorithms

fair-classification

Python code for training fair logistic regression classifiers.

fair-representation-learning

fairness-comparison

Comparing fairness-aware machine learning techniques.

fairness_dataset

Datasets for fairness-aware machine learning

fy2015-replication

Replication of Fei and Yeung (2015), "Temporal Models for Predicting Student Dropout in Massive Open Online Courses".

globem

industry-machine-learning

A curated list of applied machine learning and data science notebooks and libraries across different industries (by @firmai)

inequality-indices-fairness

Machine Learning fairness measurements using inequality indices

learning-fair-representations

Python numba implementation of Zemel et al. 2013

learning_fair_representations

Vectorized implementation of http://proceedings.mlr.press/v28/zemel13.html paper, with extensive docstring and comments

morf

The MOOC Replication Framework (MORF)

ou_student_predictions

Model predicts student success in online courses using virtual learning environment interaction statistics.

scrapers

Scrapers from a project in 2018. Yelp, Spyfu, Similarweb, Morningstar, Linkedin, Instagram, Inside, Glassdoor, Facebook, Eat24, Doordash, Angellist.

sentiment-analysis

Data Science Projects

shapley-values-h2o-example

Shapley Values with H2O AutoML Example (ML Interpretability)

slicing-analysis

Slicing analysis and replication of (Xing et al 2016, Gardner and Brooks 2018, Fei and Yeung 2015) using the MOOC Replication Framework (MORF)

stanford-cs-229-machine-learning

VIP cheatsheets for Stanford's CS 229 Machine Learning

supplementary-results-for-acml-2024

topic_modelling_and_self_organizing_maps

Topic modelling (Latent Dirichlet Allocation) and Self Organizing Maps (in python and R)

youtubeli

Github repo to upload demo files of youtube videos and linkedin