roreagan's repositories

DeepDGA

Implementation of 《DeepDGA: Adversarially-Tuned Domain Generation and Detection》 arXiv:1610.01969

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6.824

follow the class of 6.824

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Adversarial-Face-Attack

Black-Box Adversarial Attack on Public Face Recognition Systems

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AlphaZero_Gomoku

An implementation of the AlphaZero algorithm for Gomoku (also called Gobang or Five in a Row)

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awesome-self-supervised-learning

A curated list of awesome Self-Supervised methods

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bd-chat-2020

2020语言与智能技术竞赛:面向推荐的对话任务

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deepmind-research

This repository contains implementations and illustrative code to accompany DeepMind publications

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Flat-Lattice-Transformer

code for ACL 2020 paper: FLAT: Chinese NER Using Flat-Lattice Transformer

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GNNPapers

Must-read papers on graph neural networks (GNN)

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IJCAI2019_AAAC

IJCAI-19 Alibaba Adversarial AI Challenge

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LittleRpc

An rpc component based on C++ and python zmq, cross language communication, simple and easy to use

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MalConv-Pytorch

Pytorch implementation of MalConv

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meinian_health

天池美年健康大赛

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Meta-Learning-Papers

Meta Learning / Learning to Learn / One Shot Learning / Few Shot Learning

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Mobile-Security-Framework-MobSF

Mobile Security Framework is an intelligent, all-in-one open source mobile application (Android/iOS/Windows) automated pen-testing framework capable of performing static, dynamic analysis and web API testing.

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PALM

a Fast, Flexible, Extensible and Easy-to-use NLP Large-scale Pretraining and Multi-task Learning Framework.

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PhoenixGo

Go AI program which implement the AlphaGo Zero paper

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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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tabular-dl-revisiting-models

The official implementation of the paper "Revisiting Deep Learning Models for Tabular Data" (NeurIPS 2021)

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TencenNaviDemo_Android

Navigation LBS TencenNaviDemo_Android

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Tencent2019_Finals_Rank1st

2019腾讯广告算法大赛完整代码(冠军)

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tensorflow_template_application

TensorFlow template application for deep learning

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the-way-to-go_ZH_CN

《The Way to Go》中文译本,中文正式名《Go 入门指南》

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