Cheryl0605

kettle-web

基于spring boot通过java代码调用kette

reinforcement-learning-for-per-flow-buffer-sizing

Implementation of the paper "LFQ: Online Learning of Per-Flow Queuing Policies Using Deep Reinforcement Learning", Contact: Maximilian Bachl

NS3-BBRv2-Research

Research for BBRv2 Congestion Control Algorithm on NS3

bbr

BBR' - An Implementation of Bottleneck Bandwidth and Round-trip Time Congestion Control for ns-3

ns3-congestion-control

FDCTCP DCTCP CUBIC implementation

mahimahi

Web performance measurement toolkit

pantheon

Pantheon of Congestion Control

a3c_indigo

DRL in Network Congestion Control. Completion of the A3C implementation of Indigo based on the original Indigo codes. Tested on Pantheon.

CS-Book

计算机类常用电子书整理，并且附带下载链接，包括Java，Python，Linux，Go，C，C++，数据结构与算法，人工智能，计算机基础，面试，设计模式，数据库，前端等书籍

keras-tcn

Keras Temporal Convolutional Network.

temporal-conv-net-keras

TCN architecture for time series

image_dehaze

Single Image Haze Removal Using Dark Channel Prior

MOBI-challenge

P2P EV Charging web platform built on top of Ethereum smart contracts

coding-interview-university

A complete computer science study plan to become a software engineer.

Interview

Interview = 简历指南 + 算法题 + 八股文 + 源码分析

SciencePlots

Matplotlib styles for scientific plotting

Implementing-TCP-Elastic-and-Elmod-using-network-simulator-NS-3

This project includes the implementation on TCP congestion control algorithm Elastic, and a new CCA Elmod on NS3.

2019-Autumn-recruitment-experience

2019届秋招面经集合

Interview_Notes-Chinese

2018/2019/校招/春招/秋招/自然语言处理(NLP)/深度学习(Deep Learning)/机器学习(Machine Learning)/C/C++/Python/面试笔记

AI-job-interview

AI算法岗面试经验汇总

GMCMthesis

2020 年研究生数学建模 LaTeX 模板

eat_tensorflow2_in_30_days

Tensorflow2.0 🍎🍊 is delicious, just eat it! 😋😋

keras-rl

Deep Reinforcement Learning for Keras.

remy

awesome-vpn

VPN/proxy WIKI .Find the best VPN/proxy 免费的VPN 代理 账号 翻墙 科学上网 梯子 机场

Edge-Intelligence

随着移动云计算和边缘计算的快速发展，以及人工智能的广泛应用，产生了边缘智能(Edge Intelligence)的概念。深度神经网络(例如CNN)已被广泛应用于移动智能应用程序中，但是移动设备有限的存储和计算资源无法满足深度神经网络计算的需求。神经网络压缩与加速技术可以加速神经网络的计算，例如剪枝、量化、卷积核分解等。但是这些技术在实际应用非常复杂，并且可能导致模型精度的下降。在移动云计算或边缘计算中，任务卸载技术可以突破移动终端的资源限制，减轻移动设备的计算负载并提高任务处理效率。通过任务卸载技术优化深度神经网络成为边缘智能研究中的新方向。Neurosurgeon: Collaborative Intelligence Between the Cloud and Mobile Edge这篇文章提出了协同推断的**，将深度神经网络进行分区，一部分层在移动端计算，而另一部分在云端计算。根据硬件平台、无线网络以及服务器负载等因素实现动态分区，降低时延以及能耗。本项目给出了边缘智能方面的相关论文，并且给出了一个Python语言实现的卷积神经网络协同推断实验平台。关键词：边缘智能(Edge Intelligence)，计算卸载(Computing Offloading)，CNN模型分区(CNN Partition)，协同推断(Collaborative Inference)，移动云计算(Mobile Cloud Computing)

keras_ocr

用keras实现OCR定位、识别

TCP-algorithms-behaviour

Studying behaviour of various TCP variants w.r.t congestion window,dropped packets and total bytes tranferred.

RLinWiFi

Code for "Contention Window Optimization in IEEE 802.11ax Networks with Deep Reinforcement Learning" article published at WCNC 2021.

fucking-algorithm

刷算法全靠套路，认准 labuladong 就够了！English version supported! Crack LeetCode, not only how, but also why.