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annotated_deep_learning_paper_implementations

🧑‍🏫 59 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

bbs-springboot

仿掘金之【南生论坛】基于SpringBoot+Vue框架实现前后端分离（大厂微服务架构设计；代码简洁、高效无冗余；注释详细易阅读），自适应手机端和电脑端，界面简洁美观，功能完善，性能高效。官方地址：https://bbs.nanshengbbs.top

cascade-rcnn-tracking

Cascade-RCNN+DeepSort MOTDT Trackor++

community

cora

Undegraduate Porposa Project. Cognitive Routing Algorithm, It is a proposal for routing packages based on a Deep Reinforment Learning (DRL) technique using DDPG, which maps the state of the links next to the state of the device. This in order to obtain an efficient and aware of the resources of the network.

djangoblog

本项目是一个基于Django的个人博客系统，目的在于学习Django框架的使用方法、积累一定的项目开发经验，项目中参考诸多的网络资源，若有侵权请及时联系，项目不足之处也请多多包涵！

drl-and-graph-neural-network-for-routing-problems

This is the official code for the published paper 'Solve routing problems with a residual edge-graph attention neural network'

drl-gnn-ppo

PPO implementation of the DRL agent used in the paper "Deep Reinforcement Learning meets Graph Neural Networks: exploring a routing optimization use case"

drsir-drl-routing-approach-for-sdn

gnn-communication-networks

This is the repository for the collection of Graph-based Deep Learning for Communication Networks.

gnnetworkingchallenge

RouteNet baseline for the Graph Neural Networking Challenge (https://bnn.upc.edu/challenge/)

gnnpapers

Must-read papers on graph neural networks (GNN)

gnnpaperscommnets

graph_cavs

The source code for our paper: Graph Reinforcement Learning Application to Co-operative Decision-Making in Mixed Autonomy Traffic: Framework, Survey, and Challenges. This code is developed based on our previous repository TorchGRL.

intelligentprobing

IntelligentProbing is based on the Knowledge-Defined Networking (KDN) \cite{mestres_2017:KDN} paradigm that allows to apply Machine Learning (ML) techniques in SDN. We argue that an ML-based optimization of probing frequency can keep monitoring overhead within a target value while minimizing performance degradation and providing high monitoring accuracy.

leetcode-in-java

Java-based LeetCode algorithm problem solutions, regularly updated.

leetcode-master

LeetCode 刷题攻略：200道经典题目刷题顺序，共60w字的详细图解，视频难点剖析，50余张思维导图，支持C++，Java，Python，Go，JavaScript等多语言版本，从此算法学习不再迷茫！🔥🔥 来看看，你会发现相见恨晚！🚀

marvin-wen.github.io

ppo-implementation-details

The source code for the blog post The 37 Implementation Details of Proximal Policy Optimization

python

All Algorithms implemented in Python

python-mini-projects

A collection of simple python mini projects to enhance your python skills

qos-prediction-algorithm-library

一个计划复现主流QoS预测算法的仓库

rl-routing

szt-bigdata

深圳地铁大数据客流分析系统🚇🚄🌟