zkalan Goto Github PK
Name: zkalan
Type: User
Company: @tencent
Location: shen zhen
Blog: https://zkalan.com
zkalan's Projects
compiler-experiment
《编译原理与实践》课程实验内容，实现线程语言的词法和语法分析程序
digital-media-course-work
数字媒体技术课程小作业
dragon-book-exercise-answers
Compilers Principles, Techniques, & Tools (purple dragon book) second edition exercise answers. 编译原理（紫龙书）第2版习题答案。
fscan
一款内网综合扫描工具，方便一键自动化、全方位漏扫扫描。
go-common
哔哩哔哩 bilibili 网站后台工程 源码
gru4rec
GRU4Rec is the original Theano implementation of the algorithm in "Session-based Recommendations with Recurrent Neural Networks" paper, published at ICLR 2016 and its follow-up "Recurrent Neural Networks with Top-k Gains for Session-based Recommendations". The code is optimized for execution on the GPU.
hexo-theme-bootstrap-blog
A simple Bootstrap v3 blog theme for Hexo
imf2vec
Python implementation of [Exploiting Music Play Sequence for Music Recommendation](https://www.ijcai.org/Proceedings/2017/0511.pdf)
implicit-cf
A Python implementation of Hu et al. (2008)'s "Collaborative Filtering for Implicit Feedback Datasets"
javacv-rtmp-demo
javalearning
学习Java笔记
mashengblog-comment
用来存放博客评论
miaosha
⭐⭐⭐⭐秒杀系统设计与实现.互联网工程师进阶与分析🙋🐓
mortransformation
A morphological transformation program for NLP course.
multisourcedatafusion
NJU iip kjb MutiSourceDataFusion
multisourcedatafusionv2
network-distributed-processing
java实验
network-distributed-processing-ex3
neurec
Next RecSys Library
nju-dissys-2017
Distributed System, Fall 2017, CS@NJU
njuthesis-nju-thesis-template
南京大学学位论文(本科/硕士/博士)，毕业论文LaTeX模板
nlp-project
自然语言处理作业
nvim
我的 NeoVim 配置
photo-axurerp
《用户界面设计》课程——摄影预约APP界面设计成果展示
python-recommender-system
A simple recommender system in python implementing: ItemKNN, UserKNN, ItemAverage, UserAverage, UserItemAverage, etc.
python-script
主要来存放一些python脚本
python-to-python
学习python的源码
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》)
qiniu-image
upload images to Qiniu Image server
recommender-system
A developing recommender system in tensorflow2. Algorithm: UserCF, ItemCF, LFM, SLIM, GMF, MLP, NeuMF, FM, DeepFM, MKR, RippleNet, KGCN and so on.
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