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Starred repositories
Python package for lifecycle optimization
We well know GANs for success in the realistic image generation. However, they can be applied in tabular data generation. We will review and examine some recent papers about tabular GANs in action.
An approach for embedding hierarhical structures into a continuous vector space using variational autoencoders.
An end-to-end framework for mixed-integer optimization with data-driven learned constraints.
AutoBound automatically computes upper and lower bounds on functions.
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 mom…
Data and Machine Learning Curriculum for Oil, Gas, and Mining
All course materials for the Zero to Mastery Deep Learning with TensorFlow course.
GEKKO Python for Machine Learning and Dynamic Optimization
Dataset and code used in: Istrate et al. (2024) The environmental sustainability of digital content consumption. Nat Commun 15, 3724
Help welcomed if you have expertise in public health web technology, data modeling and munging, or visualization.
A gradient-based outer approximation solver for convex mixed-integer nonlinear programming (MINLP)
Notebook with pyomo tutorial
A Julia interface to the NLopt nonlinear-optimization library
Material de Cálculo Numérico em Julia.
Julia package interfacing the Fortran code MPBNGC.
Represent trained machine learning models as Pyomo optimization formulations
FOQUS: Framework for Optimization and Quantification of Uncertainty and Surrogates
Fork of https://www.pyopt.org/ (python3 compatible)
Novel Coronavirus (COVID-19) Cases, provided by JHU CSSE
The Fresa Julia package for black-box optimization