Zed Dean's Projects
Basic Open-source Nonlinear Mixed INteger programming
A harness for building the bundled suite of interoperable optimization tools available in the COIN-OR repository.
Concurrent and Parallel Programming in Python, by Packt Publishing
The gurobi/manager image provides a Docker image ready to be deployed as a Cluster Manager.
The gurobi/modeling-example image includes a Jupyter Notebook that allows you to browse and execute any of the Python modeling examples.
The gurobi/optimizer image provides a base Docker image for building applications using any of the supported APIs (C, C++, Java, .NET, Python, MATLAB, and R), as well as the command line tools such as gurobi_cl and the Python shell. If you are planning to only use the Python API, we recommend using the gurobi/python image instead.
Demonstrate how to use the Gurobi Python image as a base image.
Data Envelopment Analysis implementation in Python
A robot powered training repository :robot:
Extract and visualize information from Gurobi log files
Insert trained predictors in Gurobi models
Convenience wrapper for building optimization models from pandas data
OCaml wrapper for Gurobi
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.
an intermediate Python course
Katacoda Scenarios
Learn C Programming, Second Edition, published by Packt
Machine Learning Foundations: Algebra, Calculus, Statistics & Computer Science
Gurobi modeling examples
Google's Operations Research tools
Presentation: Custom MIP Heuristics
Data envelopment analysis module for python.
Python Data Science Handbook: full text in Jupyter Notebooks
With this package, you can generate mixed-integer linear programming (MIP) models of trained artificial neural networks (ANNs) using the rectified linear unit (ReLU) activation function. At the moment, only TensorFlow sequential models are supported. Interfaces to either the Pyomo or Gurobi modeling environments are offered.
Code and examples that accompany papers and presentations from SAS Global Forum 2020 (Mar 29 - Apr 1 in Washington, DC)
Models, data and scripts forming solutions to the end-of-chapter exercises in The AMPL Book
Config files for my GitHub profile.