hejinsome

hejinsome

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hejinsome's repositories

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MalwareTrainingSets

Free Malware Training Datasets for Machine Learning

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AiLearning-dev-vscode

running version 1.0

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Android-Malware-Detection

Android Malware Detection using Deep Learning

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awesome-malware-analysis

A curated list of awesome malware analysis tools and resources.

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Deep-Android-Malware-Detection

Code for Deep Android Malware Detection paper

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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,近30万字。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

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detectron2

Detectron2 is FAIR's next-generation research platform for object detection and segmentation.

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DroidCC

Android malware detection using deep learning, contains android malware samples, papers, tools etc.

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DS-BOOK

数据挖掘方面的500问计划-仿深度学习500问 开源贡献

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findWebshell

findWebshell是一款基于python开发的webshell检查工具,可以检查任意类型的webshell后门。

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GANimation

GANimation: Anatomically-aware Facial Animation from a Single Image (ECCV'18 Oral) [PyTorch]

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MalConv-Adversarial

Reproduction of the paper:https://arxiv.org/pdf/1803.04173.pdf

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MalConv-Pytorch

Pytorch implementation of MalConv

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malware-classification

Towards Building an Intelligent Anti-Malware System: A Deep Learning Approach using Support Vector Machine for Malware Classification

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Malware-Detection

Deep Learning Based Android Malware Detection Framework

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malware_deepnn

Research for MSc. degree: applying deep learning architectures for malware classification and detection

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mmdetection

Open MMLab Detection Toolbox with PyTorch 1.0

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pybrisque

A python implementation of BRISQUE Image Quality Assessment

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robust-adv-malware-detection

Code repository for the paper "Adversarial Deep Learning for Robust Detection of Binary Encoded Malware"

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scikit-learn-doc-zh

:book: [译] scikit-learn(sklearn) 中文文档

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stanford-cs-230-deep-learning

VIP cheatsheets for Stanford's CS 230 Deep Learning

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theZoo

A repository of LIVE malwares for your own joy and pleasure

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Webshell-Sniper

:hammer: Manage your website via terminal

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