Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.

Sequence to Sequence Learning with Keras

A modular, primitive-first, python-first PyTorch library for Reinforcement Learning.

MLNLP社区用来更好进行论文搜索的工具。Fully-automated scripts for collecting AI-related papers

Simple transformer implementation from scratch in pytorch.

PyTorch implementation of Neural Combinatorial Optimization with Reinforcement Learning https://arxiv.org/abs/1611.09940

TensorFlow implementation of "Pointer Networks"

A PyTorch library for all things Reinforcement Learning (RL) for Combinatorial Optimization (CO)

Pytorch implementation of Pointer Network

pytorch implementation of structure2vec (https://arxiv.org/abs/1603.05629)

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

"Neural Combinatorial Optimization with Reinforcement Learning"[Bello+, 2016], Traveling Salesman Problem solver

Code of NeurIPS paper: arxiv.org/abs/2302.08224

Quantum-enhanced transformer neural network

Implementation of ECO-DQN as reported in "Exploratory Combinatorial Optimization with Reinforcement Learning".

Reinforcement learning for operation research problems with OpenAI Gym and CleanRL

A benchmarking suite for maximum independent set solvers.

Code for the paper 'On Learning Paradigms for the Travelling Salesman Problem' (NeurIPS 2019 Graph Representation Learning Workshop)

Deep Reinforced Multi-Pointer Transformer forthe Traveling Salesman Problem

Learning to Solve Vehicle Routing Problems with Time Windows through Joint Attention

Too many to change, I would like to create a new repository and maintain it.

Official Implementation of the NeurIPS'23 paper 'Maximum Independent Set: Self-Training through Dynamic Programming'.

Dynamic programming algorithm (and reconstruction procedure) that finds the maximum-weight independent set of a path graph

Algorithm for solving the problems of maximum independent set, maximum clique and satisfiability, using Branch and Bound

quantum transformer

Geometric Deep Learning Extension Library for PyTorch

Python implementation of Luby's algortihm for finding maximum independent set