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Simple transformer implementation from scratch in pytorch.
Quantum-enhanced transformer neural network
Code of NeurIPS paper: arxiv.org/abs/2302.08224
A PyTorch-based framework for Quantum Classical Simulation, Quantum Machine Learning, Quantum Neural Networks, Parameterized Quantum Circuits with support for easy deployments on real quantum compu…
一款可运行的基于C++ 实现的WebServer服务器,基于《TCPIP网络编程》和《Linux高性能服务器编程》实现的服务器项目。
2021年计算机校招求职力扣 + 剑指offer刷题记录~自始至终,始终坚持面向offer刷题~
Learning to Solve Vehicle Routing Problems with Time Windows through Joint Attention
Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.
🔥🔥「InterviewGuide」是阿秀从校园->职场多年计算机自学过程的记录以及学弟学妹们计算机校招&秋招经验总结文章的汇总,包括但不限于C/C++ 、Golang、JavaScript、Vue、操作系统、数据结构、计算机网络、MySQL、Redis等学习总结,坚持学习,持续成长!
lgray / pytorch_geometric
Forked from pyg-team/pytorch_geometricGeometric Deep Learning Extension Library for PyTorch
A modular, primitive-first, python-first PyTorch library for Reinforcement Learning.
Deep Reinforced Multi-Pointer Transformer forthe Traveling Salesman Problem
A PyTorch library for all things Reinforcement Learning (RL) for Combinatorial Optimization (CO)
An improvement-based Deep Reinforcement Learning Algorithm presented in paper https://arxiv.org/abs/1912.05784v2 for solving the TSP problem.
Reinforcement learning for operation research problems with OpenAI Gym and CleanRL
Code for the paper 'An Efficient Graph Convolutional Network Technique for the Travelling Salesman Problem' (INFORMS Annual Meeting Session 2019)
Dynamic Attention Model for Vehicle Routing Problem (arXiv:2002.03282)
Implementation for the paper "A Deep Reinforcement Learning Algorithm Using Dynamic Attention Model for Vehicle Routing Problems".
Attention based model for learning to solve different routing problems