sdjoko's repositories
AMT
Adaptive Monte Carlo Multiple Testing
fairness-in-ml
This repository contains the full code for the "Towards fairness in machine learning with adversarial networks" blog post.
fad
Fairness through Adversarial Discrimination
lstm_anomaly_thesis
Anomaly detection for temporal data using LSTMs
FairClassifier
An open source package that evaluate the fairness of a Neural Network using a fairness metric called p% rule.
coursera-mathematics-for-ml
Code of the solutions of the Mathematics for Machine Learning course taught in Coursera.
tensorfuzz
A library for performing coverage guided fuzzing of neural networks
laftr
Learning Adversarially Fair and Transferable Representations
themis-ml
A library that implements fairness-aware machine learning algorithms
sentiment-analysis-for-chatbots
Jupyter notebooks for "Sentiment analysis for chatbots" training
TFPlaygroundPSA
Python implementation of the tensorflow playground online demo
NumericalOptimization_BasicAlgorithm
Optimization Algorithm: convex optimization; numerical optimization
machine-learning-project-walkthrough
An implementation of a complete machine learning solution in Python on a real-world dataset. This project is meant to demonstrate how all the steps of a machine learning pipeline come together to solve a problem!
Coursera-Imperial-College-London-Mathematics-For-Machine-Learning-Linear-Algebra
Quiz Answers, Assessments, Programming Assignments for the Linear Algebra course.
debiaswe
Remove problematic gender bias from word embeddings.
fair-classification
Python code for training fair logistic regression classifiers.
nips2017
A list of resources for all invited talks, tutorials, workshops and presentations at NIPS 2017
practical-ml-w-python
Source code for 'Practical Machine Learning with Python' by Dipanjan Sarkar, Raghav Bali, and Tushar Sharma
pyspark-tutorials
Code snippets and tutorials for working with social science data in PySpark
compas-analysis
Data and analysis for 'Machine Bias'
Deep-Learning-Papers-Reading-Roadmap
Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
DataSciencePython
common data analysis and machine learning tasks using python
aequalis
Discrimination free Naive Bayes