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caj2pdf

Convert CAJ (China Academic Journals) files to PDF. 转换**知网 CAJ 格式文献为 PDF。佛系转换，成功与否，皆是玄学。

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neovis.js

Neo4j + vis.js = neovis.js. Graph visualizations in the browser with data from Neo4j.

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T. Shapira and Y. Shavitt, "FlowPic: A Generic Representation for Encrypted Traffic Classification and Applications Identification," in IEEE Transactions on Network and Service Management, doi: 10.1109/TNSM.2021.3071441.

Language:Jupyter NotebookMIT6800

EndToEndIncrementalLearning

End-to-End Incremental Learning

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flowcontainer

从pcap获取流的基本信息工具

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Deep-Packet

Pytorch implementation of deep packet: a novel approach for encrypted traffic classification using deep learning

Language:Jupyter NotebookMIT18500

DeepTraffic

Deep Learning models for network traffic classification

Language:PythonMPL-2.066600

Traffic-identification-of-shadowsocks-based-on-convolutional-neural-network

Dataset

300

dgl

Python package built to ease deep learning on graph, on top of existing DL frameworks.

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UER-py

Open Source Pre-training Model Framework in PyTorch & Pre-trained Model Zoo

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ET-BERT

The repository of ET-BERT, a network traffic classification model on encrypted traffic. The work has been accepted as The Web Conference (WWW) 2022 accepted paper.

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transformers

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

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Algorithm_fromBilibili

《B站-青岛大学-王卓老师-数据结构与算法基础》自学心得、笔记（C++语言实现）

96400

chinese-independent-developer

👩🏿‍💻👨🏾‍💻👩🏼‍💻👨🏽‍💻👩🏻‍💻**独立开发者项目列表 -- 分享大家都在做什么

3724400

chinese-independent-blogs

中文独立博客列表

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CS-Books

🔥🔥超过1000本的计算机经典书籍、个人笔记资料以及本人在各平台发表文章中所涉及的资源等。书籍资源包括C/C++、Java、Python、Go语言、数据结构与算法、操作系统、后端架构、计算机系统知识、数据库、计算机网络、设计模式、前端、汇编以及校招社招各种面经~

2057100

CPlusPlus

✔（已完结）最全面的 C++ 笔记【黑马程序员】

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a-PyTorch-Tutorial-to-Text-Classification

Hierarchical Attention Networks | a PyTorch Tutorial to Text Classification

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textClassifier

Text classifier for Hierarchical Attention Networks for Document Classification

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hierarchical-attention-networks

Document classification with Hierarchical Attention Networks in TensorFlow. WARNING: project is currently unmaintained, issues will probably not be addressed.

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