Source code for the Paper: CombOptNet: Fit the Right NP-Hard Problem by Learning Integer Programming Constraints}

Last update: Dec 27, 2022

Related tags

Deep Learning CombOptNet

Overview

CombOptNet: Fit the Right NP-Hard Problem by Learning Integer Programming Constraints

Installation

Run pipenv install (at your own risk with --skip-lock to save some time).
From within the pipenv environment run python3 -m pip install -i https://pypi.gurobi.com gurobipy.
Obtain a license and download/set it.
Download and extract the datasets.

Usage

For [experiment] = knapsack or [experiment] = static_constraints:

Set the base_dataset_path parameter in experiments/[experiment]/base.yaml.
In case of static constraints: set the dataset_specification parameter in experiments/static_constraints/base.yaml
Run python3 main.py experiments/[experiment]/[method].yaml.

Owner

Autonomous Learning Group

GitHub Repository

RealFormer-Pytorch Implementation of RealFormer using pytorch

RealFormer-Pytorch Implementation of RealFormer using pytorch. Includes comparison with classical Transformer on image classification task (ViT) wrt C

90 Dec 08, 2022

Warning: This project does not have any current developer. See bellow.

Pylearn2: A machine learning research library Warning : This project does not have any current developer. We will continue to review pull requests and

2.7k Dec 26, 2022

GitHub repository for the ICLR Computational Geometry & Topology Challenge 2021

ICLR Computational Geometry & Topology Challenge 2022 Welcome to the ICLR 2022 Computational Geometry & Topology challenge 2022 --- by the ICLR 2022 W

42 Dec 13, 2022

A framework to train language models to learn invariant representations.

Invariant Language Modeling Implementation of the training for invariant language models. Motivation Modern pretrained language models are critical co

6 Nov 16, 2022

An AI made using artificial intelligence (AI) and machine learning algorithms (ML) .

DTech.AIML An AI made using artificial intelligence (AI) and machine learning algorithms (ML) . This is created by help of some members in my team and

1 Jan 06, 2022

Python Algorithm Interview Book Review

파이썬 알고리즘 인터뷰 책 리뷰 리뷰 IT 대기업에 들어가고 싶은 목표가 있다. 내가 꿈꿔온 회사에서 일하는 사람들의 모습을 보면 멋있다고 생각이 들고 나의 목표에 대한 열망이 강해지는 것 같다. 미래의 핵심 사업 중 하나인 SW 부분을 이끌고 발전시키는 우리나라의 I

1 Dec 14, 2021

deep-prae

Deep Probabilistic Accelerated Evaluation (Deep-PrAE) Our work presents an efficient rare event simulation methodology for black box autonomy using Im

4 Apr 17, 2021

LieTransformer: Equivariant Self-Attention for Lie Groups

LieTransformer This repository contains the implementation of the LieTransformer used for experiments in the paper LieTransformer: Equivariant Self-At

50 Dec 28, 2022

The official implementation of the Hybrid Self-Attention NEAT algorithm

PUREPLES - Pure Python Library for ES-HyperNEAT About This is a library of evolutionary algorithms with a focus on neuroevolution, implemented in pure

91 Dec 12, 2022

Contrastive Learning for Compact Single Image Dehazing, CVPR2021

AECR-Net Contrastive Learning for Compact Single Image Dehazing, CVPR2021. Official Pytorch based implementation. Paper arxiv Pytorch Version TODO: mo

253 Jan 01, 2023

AVD Quickstart Containerlab

AVD Quickstart Containerlab WARNING This repository is still under construction. It's fully functional, but has number of limitations. For example: RE

3 Apr 10, 2022

Code for reproducing experiments in "Improved Training of Wasserstein GANs"

Improved Training of Wasserstein GANs Code for reproducing experiments in "Improved Training of Wasserstein GANs". Prerequisites Python, NumPy, Tensor

2.2k Jan 01, 2023

This is a Pytorch implementation of paper: DropEdge: Towards Deep Graph Convolutional Networks on Node Classification

DropEdge: Towards Deep Graph Convolutional Networks on Node Classification This is a Pytorch implementation of paper: DropEdge: Towards Deep Graph Con

401 Dec 16, 2022

🕺Full body detection and tracking

Pose-Detection 🤔 Overview Human pose estimation from video plays a critical role in various applications such as quantifying physical exercises, sign

20 Nov 21, 2022

Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more

Apache MXNet (incubating) for Deep Learning Apache MXNet is a deep learning framework designed for both efficiency and flexibility. It allows you to m

20.2k Jan 08, 2023