All Algorithms implemented in Python

Examples and guides for using the OpenAI API

re100 simulation model based MILP optimization

Code repository for R Data Analysis Cookbook Second Edition, published by Packt Publishing

Synthetic Data Generation for tabular, relational and time series data.

Synthetic Patient Population Simulator

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

Example code for Our Python Fundamentals LiveLessons Videos

Privacy Engineering Collaboration Space

R for data science: a book

Diffprivlib: The IBM Differential Privacy Library

Syndromic Surveillance Methods for Medical Data

Projections of COVID-19, in standardized format

Generative adversarial training for generating synthetic tabular data.

A framework to generate an optimal hospital restart plan, balancing hospital economics, efficient use of resources and quality of clinical care.

MILP and MINLP Optimization Models for Isolated Distribution Network

A collection of (MILP) models and tools for Energy System Optimization

Udacity's AB Testing Course

Caffe code to accompany my Tutorial on Variational Autoencoders