AEMONAS

A PyTorch Library for Multi-Task Learning

Awesome machine learning for combinatorial optimization papers.

Advanced evolutionary computation library built directly on top of PyTorch, created at NNAISENSE.

SharpNEAT - Evolution of Neural Networks. A C# .NET Framework.

Extensible Combinatorial Optimization Learning Environments

Code for the paper 'An Efficient Graph Convolutional Network Technique for the Travelling Salesman Problem' (INFORMS Annual Meeting Session 2019)

Recent research papers about Foundation Models for Combinatorial Optimization

Experimental design and (multi-objective) bayesian optimization.

NSGA-Net, a Neural Architecture Search Algorithm

Library for Jacobian descent with PyTorch. It enables optimization of neural networks with multiple losses (e.g. multi-task learning).