yemaoxin Goto Github PK

language-style-transfer

lasd

Large Application Software Design（大型应用软件设计课程设计）

latex-homowork

可用的Latex模板

latex-ppt-template

Seven awesome latex ppt templates for researchers or students.

lecar

The design and algorithms used in LeCaR are described in this USENIX HotStorage'18 paper and talk slides: https://www.usenix.org/conference/hotstorage18/presentation/vietri

lecture

王道考研机试指南(第二版) 例题代码

leveldb

LevelDB is a fast key-value storage library written at Google that provides an ordered mapping from string keys to string values.

memcached-hybrid-random

memcached_memsweeper

memcached development tree

motor

[OSDI 2024] Motor: Enabling Multi-Versioning for Distributed Transactions on Disaggregated Memory

mqtt

MQTT协议3.1.1中文翻译版 MQTT 3.1.1 Protocol Chinese Translation

my-tv

我的电视 电视直播软件，安装即可使用

persistent-memory-study

pku

北大计算机考研资料

pku-artificial-intelligence-practice-homework

2019北京大学软件与微电子学院曹健老师的《人工智能实践》作业，有完整的注释,欢迎提出issue以及request

pumpkin-book

《机器学习》（西瓜书）公式推导解析，在线阅读地址：https://datawhalechina.github.io/pumpkin-book

pytorch-book

PyTorch tutorials and fun projects including neural talk, neural style, poem writing, anime generation (《深度学习框架PyTorch：入门与实战》)

pytorch-handbook

pytorch handbook是一本开源的书籍，目标是帮助那些希望和使用PyTorch进行深度学习开发和研究的朋友快速入门，其中包含的Pytorch教程全部通过测试保证可以成功运行

quartz_icelake

records_of_the_historian

史记数据

review_the_national_post-graduate_entrance_examination

🌟复习考研的那些事儿(清华912考研)～～

rl-car

B.Tech Thesis Code for RLCaR: Deep Reinforcement Learning Framework for Optimal and Adaptive Cache Replacement

rlcache

Cache Manager using Reinforcement Learning

rlcar

Reinforcement Learning for Cache admission and Replacement

rm_deeprl

Resource Management with DeepRL using TF Agents

rocksdb-statistics

db_bench log parser

rsshub

🍰 Everything is RSSible

segcache

server

PanDownload的个人维护版本

sibyl

Source code for the software implementation of Sibyl proposed in our ISCA 2022 paper: Gagandeep Singh et. al., "Sibyl: Adaptive and Extensible Data Placement in Hybrid Storage Systems using Online Reinforcement Learning" at https://people.inf.ethz.ch/omutlu/pub/Sibyl_RL-based-data-placement-in-hybrid-storage-systems_isca22.pdf