xxqcheers Goto Github PK
Name: xxqcheers
Type: User
xxqcheers's Projects
opensource
【编程随想】收藏的开源项目清单
pcvr
第一届腾讯社交广告-高校算法设计大赛。
plato
腾讯高性能图计算框架Plato
python
All Algorithms implemented in Python
pythondatasciencehandbook
Python Data Science Handbook: full text in Jupyter Notebooks
reco-papers
Classic papers and resources on recommendation
recommend-estimators
Classical RecSys algorithms implemented by using TensorFlow Estimators
recommenders
Best Practices on Recommendation Systems
recsys-for-playlist-continuation
State-of-the-art Papers & Codes on Recommender System for Playlist Continuation (2018~2020)
recsys2019_deeplearning_evaluation
This is the repository of our article published in RecSys 2019 "Are We Really Making Much Progress? A Worrying Analysis of Recent Neural Recommendation Approaches"
resume
An elegant \LaTeX\ résumé template. 大陆镜像 https://gods.coding.net/p/resume/git
shadowsocks
A lightweight proxy fork from @clowwindy
simple_tensorflow
主要是用来学习如何编译tensorflow，并且去除掉contributed部分和其他语言的接口，仅仅保留python和C++
tensorflow
Computation using data flow graphs for scalable machine learning
tensorflow-1
图解tensorflow 源码
tensorflow-examples
TensorFlow Tutorial and Examples for beginners
tensorflow-in-depth
《深入理解TensorFlow》项目代码与样章
tensorflow-serving-api
Provide Java API for the Tensorflow Serving
tensorflow-serving-java-grpc-kafka-streams
Kafka Streams + Java + gRPC + TensorFlow Serving => Stream Processing combined with RPC / Request-Response
tensorflow_practice
tensorflow实战练习，包括强化学习、推荐系统、nlp等
tensorflow_template_application
TensorFlow template application for deep learning
test
tt
tf_demo
利用自己编译的tensorflow library做的demo，可以集成到现有业务中，减少对tf_serving的依赖
tf_repos
TensorFlow Script
video-click-top1
视频点击预测大赛-TOP1方案
vim-vide
Lightest vimrc, while strong enough. 最轻的vim配置，却足够强！
vimrc
The ultimate Vim configuration: vimrc
webmagic
A scalable web crawler framework.
weekly
Note for my weekly reading, including tech, product and management.
word2vec
This tool provides an efficient implementation of the continuous bag-of-words and skip-gram architectures for computing vector representations of words. These representations can be subsequently used in many natural language processing applications and for further research.
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