chonspqx Goto Github PK
Name: CHONSPQX
Type: User
Bio: student of the Harbin Institute of Technology,China
Location: Harbin, China
CHONSPQX's Projects
14.x
玩转Bootstrap课程代码
15.x
15.x Bootstrap新闻站开发 - Bootstrap实战 - 课程代码
16.x
16.x 玩转JQuery - 表严肃讲JQuery
17.x
17.x jQuery表单验证 - jQuery实战
996.icu
Repo for counting stars and contributing. Press F to pay respect to glorious developers.
arxiv2020-rife
RIFE: Real-Time Intermediate Flow Estimation for Video Frame Interpolation
awesome-material
awesome material
basicsr
Basic Super-Resolution codes for development. Includes ESRGAN, SFT-GAN for training and testing.
blind-denoising
Model-Blind Video Denoising Via Frame-to-frame Training
bootstrap
The most popular HTML, CSS, and JavaScript framework for developing responsive, mobile first projects on the web.
bootstrap-magic
Bootstrap themes generator made with AngularJS
bootstrap-wysiwyg
Tiny bootstrap-compatible WISWYG rich text editor
chonspqx.github.io
BY Blog ->
coder2gwy
互联网首份程序员考公指南，由3位已经进入体制内的前大厂程序员联合献上。
computer-network
Experimens of Computer Network in my spring semester as a junior in HIT
coursera-machine-learning-stanford
Machine learning-Stanford University
coursera-ml-andrewng-notes
吴恩达老师的机器学习课程个人笔记
database
哈工大数据库实验
database-hit
Spring， 2017
db_project
数据库实验代码
deep-learning-coursera
Deep Learning Specialization by Andrew Ng on Coursera.
deep-learning-coursera-1
Deep Learning Specialization by Andrew Ng, deeplearning.ai.
deepin-wine
deepin-wine环境与应用在Mint/Ubuntu/Debian上的移植仓库
deeplearning.ai-summary
This repository contains my personal notes and summaries on DeepLearning.ai specialization courses. I've enjoyed every little bit of the course hope you enjoy my notes too.
dicsentimentanalysis
基于词典的文本情感分析并且有用户界面“小白”，提供Jar包，可直接使用
dncnn
Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising (TIP, 2017)
edvr
Winning Solution in NTIRE19 Challenges on Video Restoration and Enhancement (CVPR19 Workshops) - Video Restoration with Enhanced Deformable Convolutional Networks
elfinder
Open-source file manager for web, written in JavaScript using jQuery and jQuery UI
elfinder-servlet
Java connector for elFinder
emotionanalysis
针对手机评论数据的情感挖掘与分析项目，基于依存句法分析和情感词库提取特征词，并对特征词做情感极性预测标注。
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