Mengjun Xie (mengjunxie)

mengjunxie

Geek Repo

Company:The University of Tennessee at Chattanooga

Location:Chattanooga, Tennessee, USA

Github PK Tool:Github PK Tool

Mengjun Xie's repositories

ae-lda

Discovering Drug-related Adverse Events from Tweets Using Topic Models

Language:PythonStargazers:5Issues:0Issues:0

advmlthreatmatrix

Adversarial Threat Matrix

Stargazers:1Issues:0Issues:0

adversarial.js

Break neural networks in your browser 🦹‍♂️

Language:JavaScriptStargazers:0Issues:0Issues:0
Language:JavaLicense:Apache-2.0Stargazers:0Issues:0Issues:0

androidtrainings

Mobile security trainings based on android

Language:JavaScriptStargazers:0Issues:0Issues:0

awesome-compose

Awesome Docker Compose samples

Language:HTMLLicense:CC0-1.0Stargazers:0Issues:0Issues:0

casbin

An authorization library that supports access control models like ACL, RBAC, ABAC in Golang

Language:GoLicense:Apache-2.0Stargazers:0Issues:0Issues:0

CyberChef

The Cyber Swiss Army Knife - a web app for encryption, encoding, compression and data analysis

Language:JavaScriptLicense:Apache-2.0Stargazers:0Issues:0Issues:0

DeepLearningBook-Resources

Resource files for "Deep Learning - From Basics to Practice" by Andrew Glassner

License:MITStargazers:0Issues:0Issues:0

DeepLearningBookCode-Volume1

Python/Jupyter notebooks for Volume 1 of "Deep Learning - From Basics to Practice" by Andrew Glassner

Language:Jupyter NotebookLicense:MITStargazers:0Issues:0Issues:0

DeepLearningBookCode-Volume2

Python/Jupyter notebooks for Volume 2 of "Deep Learning - From Basics to Practice" by Andrew Glassner

License:MITStargazers:0Issues:0Issues:0

DeepLearningBookFigures-Volume1

Figures from Volume 1 of "Deep Learning - From Basics to Practice" by Andrew Glassner

License:MITStargazers:0Issues:0Issues:0

DeepLearningBookFigures-Volume2

Figures from Volume 2 of "Deep Learning - From Basics to Practice" by Andrew Glassner

License:MITStargazers:0Issues:0Issues:0

DIG

A library for graph deep learning research

License:GPL-3.0Stargazers:0Issues:0Issues:0

DVWA

Damn Vulnerable Web Application (DVWA)

License:GPL-3.0Stargazers:0Issues:0Issues:0
Language:VueStargazers:0Issues:0Issues:0

fairness_tutorial

KDD 2020 tutorial on ML Fairness

License:MITStargazers:0Issues:0Issues:0
License:Apache-2.0Stargazers:0Issues:0Issues:0
Stargazers:0Issues:0Issues:0

ManTraNet

ManTra-Net: Manipulation Tracing Network For Detection And Localization of Image Forgeries With Anomalous Features

Stargazers:0Issues:0Issues:0

mit-6.0001-intro-cs-python

These are the lectures, slides, reading assignments, and problem sets for the MIT 6.000.1 Intoduction to Computer Science and Programming in Python Open Courseware offered at the Massachusetts Institute of Technology Electrical Engineering and Computer Science Department and available at OCW.

License:MITStargazers:0Issues:0Issues:0

neuzz

neural network assisted fuzzer

License:NOASSERTIONStargazers:0Issues:0Issues:0

qiskit-tutorials

A collection of Jupyter notebooks showing how to use the Qiskit SDK

License:Apache-2.0Stargazers:0Issues:0Issues:0

RunestoneComponents

Packaging of the Runestone tools for publishing educational materials using github pages

License:NOASSERTIONStargazers:0Issues:0Issues:0

RunestoneServer

Interactive books for computer science

License:NOASSERTIONStargazers:0Issues:0Issues:0

snipe-it

A free open source IT asset/license management system

License:AGPL-3.0Stargazers:0Issues:0Issues:0

SUNBURST-Cracked

The following repository contains a modified version of SUNBURST with cracekd hashes, comments and annotations.

Stargazers:0Issues:0Issues:0

TEE-reversing

A curated list of public TEE resources for learning how to reverse-engineer and achieve trusted code execution on ARM devices

Stargazers:0Issues:0Issues:0

TensorFlow-Lite-Object-Detection-on-Android-and-Raspberry-Pi

A tutorial showing how to train, convert, and run TensorFlow Lite object detection models on Android devices, the Raspberry Pi, and more!

Stargazers:0Issues:0Issues:0

webpack

A bundler for javascript and friends. Packs many modules into a few bundled assets. Code Splitting allows for loading parts of the application on demand. Through "loaders", modules can be CommonJs, AMD, ES6 modules, CSS, Images, JSON, Coffeescript, LESS, ... and your custom stuff.

License:MITStargazers:0Issues:0Issues:0