cog-imperial Goto Github PK
Name: C⚙G - Imperial College London
Type: Organization
Bio: Computational Optimisation Group @ Imperial College London
Location: London
Name: C⚙G - Imperial College London
Type: Organization
Bio: Computational Optimisation Group @ Imperial College London
Location: London
Repository for paper: "Dependence in constrained Bayesian optimization: When do we need it and how does it help?".
Pyomo implementation of a drill scheduling case study
Multiobjective black-box optimization using gradient-boosted trees
An extensible MINLP solver
Dashboard for the GALINI Solver
Repository for paper: "Optimizing over trained GNNs via symmetry breaking".
Design of experiments for model discrimination using Gaussian process surrogate models
Mistry, M., Misener, R. 2016. Optimising heat exchanger network synthesis using convexity properties of the logarithmic mean temperature difference. Computers & Chemical Engineering. 94, 1-17.
Source code of the methods proposed in "Dimitrios Letsios, Georgia Kouyialis, Ruth Misener. Heuristics with Performance Guarantees for the Minimum Number of Matches Problem in Heat Recovery Network Design. Computers and Chemical Engineering 113:57-85, 2018".".
Represent trained machine learning models as Pyomo optimization formulations
Repository for paper: "Augmenting optimization-based molecular design with graph neural networks".
Implementation of partition-based formulations for mixed-integer optimization of trained ReLU neural networks
This repository contains a collection of MINLP test instances available in both .nl and .gms format.
F. Ceccon, G. Kouyialis, R. Misener, "Using functional programming to recognize named structure in an optimization problem: Application to pooling"
Bindings to Ipopt C++ library for Python. 🐍
Modeling Gaussian Processes in Pyomo
Modeling robust optimization problems in Pyomo
Selecting cutting planes for quadratic semidefinite outer-approximation via trained neural networks
Repository for paper: "SnAKe: Bayesian Optimization with Pathwise Exploration".
Implementation of polynomial-time algorithms for subclasses of single quality standard pooling problems.
Special Structure Detection for Pyomo
A repository for solving tidal stream turbine optimization with mixed-integer pde-constrained optimization
Exact lexicographic scheduling methods and approximate recovery strategies for two-stage makespan scheduling
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.