xiaozongziya

xiaozongziya's Stars

• heucoder/dimensionality_reduction_alo_codes

  特征提取/数据降维:PCA、LDA、MDS、LLE、TSNE等降维算法的python实现

  Language:Python2.3k620

• CoderLeixiaoshuai/java-eight-part

  『Java八股文』Java面试套路，Java进阶学习，打破内卷拿大厂Offer，升职加薪！

  Language:Java5.8k979

• deep-fingerprinting/df

  The source code and dataset are used to demonstrate the DF model, and reproduce the results of the ACM CCS2018 paper

  Language:Python16254

• seladb/PcapPlusPlus

  PcapPlusPlus is a multiplatform C++ library for capturing, parsing and crafting of network packets. It is designed to be efficient, powerful and easy to use. It provides C++ wrappers for the most popular packet processing engines such as libpcap, Npcap, WinPcap, DPDK, AF_XDP and PF_RING.

  Language:C++2.7k643

• fuchuanpu/Whisper

  Realtime Robust Malicious Traffic Detection via Frequency Domain Analysis

  Language:C++11628

• CanadianInstituteForCybersecurity/CICFlowMeter

  CICFlowmeter-V4.0 (formerly known as ISCXFlowMeter) is a network traffic Bi-flow generator and analyzer for anomaly detection that has been used in many Cybersecurity datsets such as Android Adware-General Malware dataset (CICAAGM2017), IPS/IDS dataset (CICIDS2017), Android Malware dataset (CICAndMal2017) and Distributed Denial of Service (CICDDoS2019).

  15241

• zhanlaoban/Transformers_for_Text_Classification

  基于Transformers的文本分类

  Language:Python33363

• labmlai/annotated_deep_learning_paper_implementations

  🧑‍🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

  Language:Python53.5k5.5k

• qa276390/Encrypted_Traffic_Classification

  using deep learning to classify the encrypted network traffic

  Language:Python13826

• thunlp/TAADpapers

  Must-read Papers on Textual Adversarial Attack and Defense

  Language:Python1.5k194

• echowei/DeepTraffic

  Deep Learning models for network traffic classification

  Language:Python665299

• yungshenglu/USTC-TK2016

  Toolkit for processing PCAP file and transform into image of MNIST dataset

  Language:Python20162

• linwhitehat/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.

  Language:Python33577

• munhouiani/Deep-Packet

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

  Language:Jupyter Notebook18356

• L1aoXingyu/code-of-learn-deep-learning-with-pytorch

  This is code of book "Learn Deep Learning with PyTorch"

  Language:Jupyter Notebook2.8k1.2k

• Thijsvanede/FlowPrint

  Original implementation of FlowPrint as in the NDSS '20 paper

  Language:Python10433

• linwhitehat/ETA-Resource

  Materials about Encrypted Traffic Analysis

  7016

• d2l-ai/d2l-zh

  《动手学深度学习》：面向中文读者、能运行、可讨论。中英文版被70多个国家的500多所大学用于教学。

  Language:Python61.1k10.8k

• WardBeullens/Calamari-and-Falafl

  Implementation of the Calamari and Falafl (linkable) ring signature schemes

  Language:C73

• microsoft/PQCrypto-SIDH

  SIDH Library is a fast and portable software library that implements state-of-the-art supersingular isogeny cryptographic schemes. The chosen parameters aim to provide security against attackers running a large-scale quantum computer, and security against classical algorithms.

  Language:C316101

• huggingface/transformers

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

  Language:Python132k26.2k

• huggingface/tokenizers

  💥 Fast State-of-the-Art Tokenizers optimized for Research and Production

  Language:Rust8.9k764