BITACC's repositories
ai-for-tsp-competition
This is the official repository of the AI for TSP competition at IJCAI 2021
Artificial-Intelligence-Deep-Learning-Machine-Learning-Tutorials
A comprehensive list of Deep Learning / Artificial Intelligence and Machine Learning tutorials - rapidly expanding into areas of AI/Deep Learning / Machine Vision / NLP and industry specific areas such as Climate / Energy, Automotives, Retail, Pharma, Medicine, Healthcare, Policy, Ethics and more.
awesome-ml4co
Awesome machine learning for combinatorial optimization papers.
Awesome-Transformer-Attention
An ultimately comprehensive paper list of Vision Transformer/Attention, including papers, codes, and related websites
Coluna.jl
Branch-and-Price-and-Cut in Julia
CppCoreGuidelines
The C++ Core Guidelines are a set of tried-and-true guidelines, rules, and best practices about coding in C++
cvxpylayers
Differentiable convex optimization layers
deepmind-research
This repository contains implementations and illustrative code to accompany DeepMind publications
E2E-DRO
End-to-end distributionally robust optimization
ecole
Extensible Combinatorial Optimization Learning Environments
GNN-LP
[ICLR 2023 spotlight] "On Representing Linear Programs by Graph Neural Networks" by Ziang Chen, Jialin Liu, Xinshang Wang, Jianfeng Lu, Wotao Yin.
Graph-Neural-Networks
Assignments and final project of Complex Networks Course under supervision of Prof. Mostafa Haghir Chehreghani - AUT - Fall 2021
Graphical-Neural-Network
CS224W: Graph Embedding, GNNs, Recommendation Systems, and applications.
gurobi-optimods
Data-driven APIs for common optimization tasks
Hard-Margin-SVM
Code from the paper "Support Vector Machines with the Hard-Margin Loss: Optimal Training via Combinatorial Benders' Cuts" by I. Santana, B. Serrrano, M. Schiffer, and T. Vidal
learn2branch-ecole
Reimplementation of "Exact Combinatorial Optimization with Graph Convolutional Neural Networks" (NeurIPS 2019)
learning_mip
Your best resource to learn mixed-integer programming to solve practical decision-making problems.
modeling-examples
Gurobi modeling examples
optimization_course
A course on Optimization Methods
retro_branching
Learning to branch with reinforcement learning using retrospective trajectories for exact combinatorial optimisation.
risk-slim
simple customizable risk scores in python
SimpleBenders.jl
A simple implementation of the Benders decomposition method with JuMP
YouTube-Tutorials
Repo containing scripts for videos featured on Adrian Dolinay's YouTube channel.