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acedesci's Projects

bqpdualbound icon bqpdualbound

A Dual Bounding Framework through Cost Splitting for Binary Quadratic Optimization

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 interoperable optimization tools available in the COIN-OR repository.

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.

courses icon courses

Course materials for the Data Science Specialization: https://www.coursera.org/specialization/jhudatascience/1

crcanalytics icon crcanalytics

repository of the Canada Research Chair in Supply Chain Analytics

docplex-examples icon docplex-examples

These samples demonstrate how to use the DOcplex library to model and solve optimization problems.

dtreeviz icon dtreeviz

A python library for decision tree visualization and model interpretation.

espprc-jpulse icon espprc-jpulse

Java implementation of the pulse algorithm to solve the elementary shortest path problem with resource constraints (ESPPRC). The paper is available at: https://doi.org/10.1287/trsc.2014.0582

face_recognition icon face_recognition

The world's simplest facial recognition api for Python and the command line

fairseq icon fairseq

Facebook AI Research Sequence-to-Sequence Toolkit written in Python.

frk icon frk

Fixed Rank Kriging with big data

gluon-ts icon gluon-ts

Probabilistic time series modeling in Python

goinggas icon goinggas

The companion resource repository for the book Going Gas - from VBA to Apps Script

golden_touch icon golden_touch

Predict the price of gold using sequence generation via ANNs with LSTM neurons

googlespreadsheetprogramming_2015 icon googlespreadsheetprogramming_2015

Contains all code examples given in the 2015 version of my Leanpub book "Google Spreadsheet Programming". Each chapter is given its own GAS file (.gs).

graph_comb_opt icon graph_comb_opt

Implementation of "Learning Combinatorial Optimization Algorithms over Graphs"

hgs-cvrp icon hgs-cvrp

Modern implementation of the hybrid genetic search (HGS) algorithm specialized to the capacitated vehicle routing problem (CVRP). This code also includes an additional neighborhood called SWAP*.

interpret icon interpret

Fit interpretable models. Explain blackbox machine learning.

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