PiggyGaGa's Stars
sebastianruder/NLP-progress
Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.
grapheco/InteractiveGraph
InteractiveGraph provides a web-based interactive visualization and analysis framework for large graph data, which may come from a GSON file, or an online Neo4j graph database. InteractiveGraph also provides applications built on the framework: GraphNavigator, GraphExplorer and RelFinder.
0voice/expert_readed_books
2021年最新总结,推荐工程师合适读本,计算机科学,软件技术,创业,**类,数学类,人物传记书籍
TrustAGI-Lab/Awesome-Graph-Neural-Networks
Paper Lists for Graph Neural Networks
benedekrozemberczki/awesome-graph-classification
A collection of important graph embedding, classification and representation learning papers with implementations.
thunlp/GNNPapers
Must-read papers on graph neural networks (GNN)
water8394/flink-recommandSystem-demo
:helicopter::rocket:基于Flink实现的商品实时推荐系统。flink统计商品热度,放入redis缓存,分析日志信息,将画像标签和实时记录放入Hbase。在用户发起推荐请求后,根据用户画像重排序热度榜,并结合协同过滤和标签两个推荐模块为新生成的榜单的每一个产品添加关联产品,最后返回新的用户列表。
Dr-Incognito/V2Ray-Desktop
最优雅的跨平台代理客户端,支持Shadowsocks(R),V2Ray和Trojan协议。The most elegant cross-platform proxy GUI client that supports Shadowsocks(R), V2Ray, and Trojan. Built with Qt5 and QML2.
hithisisdhara/expr-tf-EGNN
Experimental code for the EGNN idea with TensorFlow
Mrzhangxiaohua/2019CCF_Visualization
yzhao062/anomaly-detection-resources
Anomaly detection related books, papers, videos, and toolboxes
lukasruff/Deep-SVDD
Repository for the Deep One-Class Classification ICML 2018 paper
createmomo/createmomo.github.io
Angzz/awesome-panoptic-segmentation
Panoptic Segmentation Resources List
mrgloom/awesome-semantic-segmentation
:metal: awesome-semantic-segmentation
onlyless/onlyless.github.io
主网址:https://www.djangoz.com 备用:https://onlyless.github.io
ZhaoJ9014/face.evoLVe
🔥🔥High-Performance Face Recognition Library on PaddlePaddle & PyTorch🔥🔥
senliuy/FaceLivenessDetection
scutan90/DeepLearning-500-questions
深度学习500问,以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述,以帮助自己及有需要的读者。 全书分为18个章节,50余万字。由于水平有限,书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作,联系scutjy2015@163.com 版权所有,违权必究 Tan 2018.06
tayeh/Multi-Factor-Authentication-for-Linux
Secure Linux Desktop (GDM) and SSH Login Using Two Factor Google Authenticator