leenamurgai
Mathematician > Derivatives Quant > Data Scientist > Machine Learning Researcher > Author. Interested in people, data and modelling. Python stack fan.
mitigatingbias.mlSan Francisco Bay Area, CA
Pinned Repositories
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.
create-your-own-adventure
cs253-web-app-eng
CS253 Web Application Engineering Udacity Course (Steve Huffman)
debias-ml
A practical, explainable and effective method for reducing bias in machine learning algorithms.
mitigatingbias.ml
Mitigating Bias in Machine Learning: Online book repository
ml-nanodegree
Machine Learning Udacity Nanodegree program
playground
Python, machine learning and all that
ud513-data-struct-algos-python
UD513 Data Structures and Algorithms in Python Udacity Course (Brynn Claypoole)
ud730-deep-learning
UD730 Deep Learning Udacity Course (Vincent Vanhoucke)
ud775-git-and-github
UD775 How to Use Git and GitHub Udacity Course (Caroline Buckey and Sarah Spikes)
leenamurgai's Repositories
leenamurgai/debias-ml
A practical, explainable and effective method for reducing bias in machine learning algorithms.
leenamurgai/ud513-data-struct-algos-python
UD513 Data Structures and Algorithms in Python Udacity Course (Brynn Claypoole)
leenamurgai/cs253-web-app-eng
CS253 Web Application Engineering Udacity Course (Steve Huffman)
leenamurgai/ml-nanodegree
Machine Learning Udacity Nanodegree program
leenamurgai/playground
Python, machine learning and all that
leenamurgai/mitigatingbias.ml
Mitigating Bias in Machine Learning: Online book repository
leenamurgai/ud775-git-and-github
UD775 How to Use Git and GitHub Udacity Course (Caroline Buckey and Sarah Spikes)
leenamurgai/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.
leenamurgai/create-your-own-adventure
leenamurgai/ud730-deep-learning
UD730 Deep Learning Udacity Course (Vincent Vanhoucke)
leenamurgai/deep-learning-v2-pytorch
Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101
leenamurgai/fairness-in-ml
This repository contains the full code for the "Towards fairness in machine learning with adversarial networks" blog post.
leenamurgai/fp101x-haskell
Introduction to Functional Programming EdX course (Erik Meijer)
leenamurgai/GloVe
GloVe model for distributed word representation
leenamurgai/leenamurgai.github.io
leenamurgai/ml-class
Stanford's 2011 Machine Learning Class (Andrew Ng)
leenamurgai/natural-language-processing
Resources for "Natural Language Processing" Coursera course.
leenamurgai/pandoc
Universal markup converter
leenamurgai/pandoc-conversion
First three chapters of Mitigating Bias in Machine Learning (MBML)
leenamurgai/progfun-scala
Functional Programming Principles in Scala Coursera Course (Martin Odersky)
leenamurgai/recipes
leenamurgai/stanford-cs-229-machine-learning
VIP cheatsheets for Stanford's CS 229 Machine Learning
leenamurgai/stanford-cs-230-deep-learning
VIP cheatsheets for Stanford's CS 230 Deep Learning
leenamurgai/ud170-intro-to-data-analysis
UD170 Introduction to Data Analysis Udacity Course (Caroline Buckey)
leenamurgai/ud188-intro-to-deep-learning-with-pytorch
UD188 Intro to Deep Learning with PyTorch Udacity Course
leenamurgai/unbuch
Compile markdown into an html and pdf book based on pandoc.