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FalconG's Projects

3d-bin-pack icon 3d-bin-pack

A set of C programs that calculate the best fit for boxes on a pallet, and visualize the result.

adempiere icon adempiere

ADempiere Business Suite ERP/CRM/MFG/SCM/POS done the Bazaar way in an open and unabated fashion. Focus is on the Community that includes Subject Matter Specialists, Implementors and End-Users.

arsenal icon arsenal

Arsenal is just a quick inventory and launcher for hacking programs

beagle icon beagle

Automatically exported from code.google.com/p/beagle

beagle-1 icon beagle-1

A generic C++ framework for evolutionary computation

benders-decomposition-gurobi icon benders-decomposition-gurobi

Repository contains implementation of Bender Decomposition for classical facility/warehause location problem using Python and Gurobi solver.

benderslib icon benderslib

Benders decomposition and its variants in Python

biobjectivebranchandcut icon biobjectivebranchandcut

Contains code for a bi objective branch and cut algorithm which can be used for bi objective combinatorial optimization in minimization form.

blackboxparadiseo icon blackboxparadiseo

A set of blackbox classes based on ParadisEO for straightforward optimization

bocblp icon bocblp

This repository contains codes, instances and results for the bi-objective cost bottleneck location problem. The code is written in C++

bop icon bop

Biobjective Optimization

bpfi-learn2branch icon bpfi-learn2branch

Source code for paper "Batch-Wise Permutation Feature Importance Evaluation and Problem-Specific Bigraph for Learn-to-Branch"

caffe icon caffe

Caffe: a fast open framework for deep learning.

coin-or-optimizationsuite icon coin-or-optimizationsuite

A harness for building the bundled suite of all the optimization tools available in the COIN-OR repository. This repository is mirrored from https://projects.coin-or.org/CoinBinary

concorde icon concorde

Concorde is a computer code for the symmetric traveling salesman problem (TSP) and some related network optimization problems. It was created by David Applegate, Robert E. Bixby, Vašek Chvátal, and William J. Cook.

corrosion icon corrosion

Predict corrosion rate using Machine Learning

dae_impute icon dae_impute

Time series missing data imputation with Temporal Convolutional Denoising Autoencoder

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