CERC Data Science For Decision Making

CERC Data Science For Decision Making's repositories

learn2branch

Exact Combinatorial Optimization with Graph Convolutional Neural Networks (NeurIPS 2019)

Language:PythonMIT331 14 20

ecole

Extensible Combinatorial Optimization Learning Environments

Language:C++BSD-3-Clause309 8 154

Tulip.jl

Interior-point solver in pure Julia

Language:JuliaNOASSERTION151 8 37

ml4co-competition

Machine Learning for Combinatorial Optimization - NeurIPS'21 competition

Language:PythonBSD-3-Clause123 14 1

branch-search-trees

Parameterizing Branch-and-Bound Search Trees to Learn Branching Policies (AAAI 2021)

Language:PythonMIT60 4 9

learn2branch-ecole

Reimplementation of "Exact Combinatorial Optimization with Graph Convolutional Neural Networks" (NeurIPS 2019)

Language:PythonMIT26 5 3

learn2comparenodes

Learning to Compare Nodes in Branch and Bound with Graph Neural Networks (NeurIPS 2022)

Language:Jupyter Notebook17 4 2

Bliss

Fork of Bliss

Language:C++LGPL-3.011 4 3

ZERO

ZERO is a modular C++ library interfacing Mathematical Programming and Game Theory.

Language:C++NOASSERTION9 20

EPECInstances

An Instance generator for NASPs (Nash Games among Stackelberg Players)

Language:Python8 40

singularity-conda

A Singularity recipe that properly initialize a conda environment

Language:ShellMIT8 40

PySCIPOpt

Python interface for the SCIP Optimization Suite

Language:PythonMIT7 40

nectar

Codebase for "A learning-based algorithm to quickly compute good primal solutions for Stochastic Integer Programs"

Language:PythonMIT4 60

milp-outcome

Language:Jupyter NotebookMIT3 2 1

miqp-clf2lin

Language:Python3 20

tipsntricks

Tips, tricks and setup information at the chair

Language:HTMLMIT3 60

CNG-Instances

Instances and results for the Critical Node Game

MIT2 40

ml4co-competition-hidden

Machine Learning for Combinatorial Optimization - NeurIPS'21 competition (hidden code)

Language:PythonBSD-3-Clause200

CAPsac

Repository containing data instances of the Covering-Assignment Problem for Swarm-powered Ad-hoc Clouds (CAPsac).

1 30

ecole-paper

Compare Ecole and Gasse et al. 2019 implementations

Language:Jupyter NotebookMIT1 6 2

GraphRL

Language:PythonMIT1 3 3

IrratDCM

"On the estimation of discrete choice models to capture irrational customer behaviors" by Jena et al. (2021)

MIT1 50

bnb-size-prediction

Model to predict the size of branch and bound trees.

Language:PythonMIT030

doc.ecole.ai

Generated documentation for Ecole.

Language:HTML070

ecole-extension

Template repository for using Ecole C++ library from Python

Language:C++MIT040

ignite-rl

Reinforcement learning abstractions.

Language:PythonMIT02 10

LLRS

code for the paper ``An Exact Method for (Constrained) Assortment Optimization Problems with Product Costs'', Leitner et al.

Language:C++BSD-3-Clause040

rl-baselines-zoo

A collection of 100+ pre-trained RL agents using Stable Baselines, training and hyperparameter optimization included.

Language:PythonMIT010

stable-baselines

A fork of OpenAI Baselines, implementations of reinforcement learning algorithms

Language:PythonMIT010

www.ecole.ai

Website for Ecole

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