YJC-3123

YJC-3123's Stars

• youngyangyang04/leetcode-master

  《代码随想录》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！🚀

  Language:Shell53.1k38324411.7k

• afatcoder/LeetcodeTop

  汇总各大互联网公司容易考察的高频leetcode题🔥

  18.8k291652.7k

• imarvinle/awesome-cs-books

  🔥 经典编程书籍大全，涵盖：计算机系统与网络、系统架构、算法与数据结构、前端开发、后端开发、移动开发、数据库、测试、项目与团队、程序员职业修炼、求职面试等

  17.7k245162.6k

• bayesian-optimization/BayesianOptimization

  A Python implementation of global optimization with gaussian processes.

  Language:Python8k1303661.6k

• piglei/one-python-craftsman

  来自一位 Pythonista 的编程经验分享，内容涵盖编码技巧、最佳实践与思维模式等方面。

  6.9k19754969

• sylar-yin/sylar

  C++高性能分布式服务器框架,webserver,websocket server,自定义tcp_server（包含日志模块，配置模块，线程模块，协程模块，协程调度模块，io协程调度模块，hook模块，socket模块，bytearray序列化，http模块，TcpServer模块，Websocket模块，Https模块等, Smtp邮件模块, MySQL, SQLite3, ORM,Redis,Zookeeper)

  Language:C++4.2k7529990

• gem5/gem5

  The official repository for the gem5 computer-system architecture simulator.

  Language:C++1.8k713641.3k

• datawhalechina/team-learning-data-mining

  主要存储Datawhale组队学习中“数据挖掘/机器学习”方向的资料。

  Language:Jupyter Notebook1.6k2912818

• s5z/zsim

  A fast and scalable x86-64 multicore simulator

  Language:C++34229246187

• tsoumakas/mulan

  Language:Java6192420

• CGCL-codes/HSCC

  HSCC is implemented with zsim-nvmain hybrid simulator, it has achieved the following functions: (1) Memory management simulations (such as MemoryNode, Zone, Buddy Allocator etc.); (2) TLB, page table and reversed page table simulations; (3) Implementation of SHMA, a hierarchical hybrid DRAM/NVM memory system that brought DRAM caching issues into software level; (4) Multiple DRMA-NVM hybrid architecture supports.

  Language:C++537227

• CGCL-codes/HME

  HME a hybrid memory emulator for studying the performance and energy characteristics of upcoming NVM technologies. HME exploits features available in commodity NUMA architectures to emulate two kinds of memories: fast, local DRAM, and slower, remote NVM on other NUMA nodes. HME can emulates a wide range of NVM latencies and bandwidth by injecting different memory access delay on the remote NUMA nodes. To facilitate programmers and researchers in evaluating the impact of NVM on the application performance, a high-level programming interface is also provided to allocate memory from NVM or DRAM nodes.

  495618

• M-Soundouss/CopulaConformalMTR

  Code for paper "Copula-based conformal prediction for Multi-Target Regression"

  Language:Python33223

• AXLEproject/axle-zsim-nvmain

  This is a fork of zsim (see https://github.com/s5z/zsim) which integrates the NVMain main memory simulator, adding 3D stacking and non-volatile memory support.

  Language:C++25201216

• hanwckf/scut_padavan_guide

  manual for scut_padavan

  25205

• shinan6/chatgpt_cmd

  Simply calling chatgpt APIs and store chat history in csv

  Language:Python22104

• DeshZhao/TinyWebServerRedis

  Language:C++18112

• windard/Python_Lib

  This is python's lib.

  Language:Jupyter Notebook17118

• GTkernel/cori-sim

  Simulation infrastructure and validation of Cori

  Language:Python13703

• wjb19/mimo-svr

  multiple input, multiple output support vector regression

  Language:C++134311

• chenkkkk/MTR-TSF

  Multi-target Regression via Target Specific Features

  Language:Python10304

• PeiZhangNEU/RL_tensorflow2.3

  利用tensor2.3编写的RL程序，参考莫凡大神的代码

  Language:Jupyter Notebook9110

• byx2000/GeneticAlgorithm_KnapsackProblem

  用遗传算法解决背包问题

  Language:C++8102

• Jingz-J/GA-Genetic-Algorithm-for-knapsack-problem

  遗传算法，背包问题

  Language:Python4

• alidastgheib/multi-output-learning-project

  Convex optimization course _ Final project _ Article implementation

  Language:HTML2100

• ogreyesp/GEPMTR

  This repository contains the code of "Gene expression programming for multi-target regression"

  Language:Java2300

• duonys/deep-learning-chainer

  Deep Learning(SdA Classifier, Regressor), compatible with scikit-learn

  Language:Python1

• Merlynwong/Rehabilitation-Robot

  A DQN based reinforcement learning agent to train a PID motor optimiser

  1

• ritabei/Vegetation-cover

  Code and aggregated data of the paper 'Multi-output regression with structurally incomplete target labels: A case study of modelling global vegetation cover' by R. Beigaitė, J. Read, I. Žliobaitė. Ecological Informatics (2022). DOI: 10.1016/j.ecoinf.2022.101849.

  Language:Jupyter Notebook1

• sigterm9kill/multiOutputRegression

  Language:Jupyter Notebook10