Dzakpasu

ABCinML

ABCinML: Anticipatory Bias Correction in Machine Learning Applications

adult-dataset-analysis

Preprocessing and modelling of the adult dataset from UCI. The model achieved an 84% accuracy.

Adversarial-Variational-Semi-supervised-Learning

The reusable codes for KDD'19 research track paper: Adversarial Variational Embedding for Robust Semi-supervised Learning

awesome-ml-fairness

Papers and online resources related to machine learning fairness

BayesianModelingIntersectionalFairness

Code implements empirical and model-based fairness estimation from the paper - Bayesian Modeling of Intersectional Fairness: The Variance of Bias

benchmark_VAE

Unifying Variational Autoencoder (VAE) implementations in Pytorch (NeurIPS 2022)

biasmitigation

Data-visualization-in-python

data414

Data Analytics 414

ddq

Config files for my GitHub profile.

FairAI

This is a collection of papers and other resources related to fairness.

fairness-comparison

Comparing fairness-aware machine learning techniques.

g_research

industry-machine-learning

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

infotheory

C++/Python Information theoretic analyses tools

intersectionality

https://arxiv.org/abs/2205.04610

IntroML

Introductory course in Machine Learning for master students in Statistics at Uppsala University

machine-learning-book

Code Repository for Machine Learning with PyTorch and Scikit-Learn

MachineLearningFoundations

ml-road-map

The most streamlined road map to learn ML for free.

ML4thesis

neural_nets_from_scratch

Generic implementations of neural network models and training alogs from scratch

pytorch-Deep-Learning

Deep Learning (with PyTorch)

pytorch-tutorial

PyTorch Tutorial for Deep Learning Researchers

stat453-deep-learning-ss21

STAT 453: Intro to Deep Learning @ UW-Madison (Spring 2021)

SxPID

A differentiable measure of shared mutual information via overlapping exclusions in event (measure) spaces for discrete and continuous variables

tensorflow-101

TensorFlow 101: Introduction to Deep Learning

tuning_playbook

A playbook for systematically maximizing the performance of deep learning models.

udlbook

Understanding Deep Learning - Simon J.D. Prince

vae-record-generator

VAE - Tabular Data Generation