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
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!
deep-fingerprinting/df
The source code and dataset are used to demonstrate the DF model, and reproduce the results of the ACM CCS2018 paper
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.
fuchuanpu/Whisper
Realtime Robust Malicious Traffic Detection via Frequency Domain Analysis
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).
zhanlaoban/Transformers_for_Text_Classification
基于Transformers的文本分类
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, ... 🧠
qa276390/Encrypted_Traffic_Classification
using deep learning to classify the encrypted network traffic
thunlp/TAADpapers
Must-read Papers on Textual Adversarial Attack and Defense
echowei/DeepTraffic
Deep Learning models for network traffic classification
yungshenglu/USTC-TK2016
Toolkit for processing PCAP file and transform into image of MNIST dataset
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.
munhouiani/Deep-Packet
Pytorch implementation of deep packet: a novel approach for encrypted traffic classification using deep learning
L1aoXingyu/code-of-learn-deep-learning-with-pytorch
This is code of book "Learn Deep Learning with PyTorch"
Thijsvanede/FlowPrint
Original implementation of FlowPrint as in the NDSS '20 paper
linwhitehat/ETA-Resource
Materials about Encrypted Traffic Analysis
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。
WardBeullens/Calamari-and-Falafl
Implementation of the Calamari and Falafl (linkable) ring signature schemes
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.
huggingface/transformers
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
huggingface/tokenizers
💥 Fast State-of-the-Art Tokenizers optimized for Research and Production