Pinned Repositories
15-puzzle
The 15-puzzle is a sliding puzzle that consists of a frame of numbered square tiles in random order with one tile missing, built in react
AiLearning
AiLearning: 机器学习 - MachineLearning - ML、深度学习 - DeepLearning - DL、自然语言处理 NLP
AR-Source
Augmented reality (AR) development resources(增强现实开发资源汇总)---AIRX整理
Autoformer
About Code release for "Autoformer: Decomposition Transformers with Auto-Correlation for Long-Term Series Forecasting" (NeurIPS 2021), https://arxiv.org/abs/2106.13008
Char-RNN-TensorFlow
Multi-language Char RNN for TensorFlow >= 1.2.
ChineseCodingInterviewAppendix
The source code for the appendix part of the Chinese version of the book Coding Interviews
CodingInterviewChinese2
《剑指Offer》第二版源代码
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
NanoLog
Low Latency C++11 Logging Library
TinyWebServer
:fire: Linux下C++轻量级Web服务器
wangchunpeng1's Repositories
wangchunpeng1/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
wangchunpeng1/15-puzzle
The 15-puzzle is a sliding puzzle that consists of a frame of numbered square tiles in random order with one tile missing, built in react
wangchunpeng1/ChineseCodingInterviewAppendix
The source code for the appendix part of the Chinese version of the book Coding Interviews
wangchunpeng1/CodingInterviewChinese2
《剑指Offer》第二版源代码
wangchunpeng1/CppDesignPattern
C++设计模式实现,Qt项目
wangchunpeng1/kaggle-CrowdFlower
1st Place Solution for CrowdFlower Product Search Results Relevance Competition on Kaggle.
wangchunpeng1/knightyun.github.io
🎉欢迎访问我的博客主页!(Welcome to my blog website!)❤
wangchunpeng1/LSTNet
wangchunpeng1/M4-methods
Data, Benchmarks, and methods submitted to the M4 forecasting competition
wangchunpeng1/Multi-client-communication
Multi client communication based on C++ Socket implementation
wangchunpeng1/Multitask-Learning
多任务学习相关资料,论文,代码
wangchunpeng1/myFirstRepo.github.io
尝试搭建个人博客
wangchunpeng1/paint.net
cone of paint.net 3.36, that's latest opensource version
wangchunpeng1/pgmpy_notebook
Short Tutorial to Probabilistic Graphical Models(PGM) and pgmpy
wangchunpeng1/posters