leima-hit's repositories
Android-Face-Recognition-with-Deep-Learning-Test-Framework
Face Recognition framework for Android devices can be used to test different face recognition methods.
android-security-awesome
A collection of android security related resources
android-testing
A collection of samples demonstrating different frameworks and techniques for automated testing
Apktool
A tool for reverse engineering Android apk files
arXivTimes
repository to research & share the machine learning articles
awesome-courses
:books: List of awesome university courses for learning Computer Science!
calabash-android-server
Automated Functional testing for Android based on cucumber http://calaba.sh
calabash-ios
Calabash for iOS
calabash-ios-server
An embedded HTTP server for performing queries and gestures
cleverhans
An adversarial example library for constructing attacks, building defenses, and benchmarking both
cuckoo
Cuckoo Sandbox is an automated dynamic malware analysis system
deap
Distributed Evolutionary Algorithms in Python
deep-learning-model-convertor
The convertor/conversion of deep learning models for different deep learning frameworks/softwares.
deepo
A series of Docker images (and their generator) that allows you to quickly set up your deep learning research environment.
deepxplore
DeepXplore code release
dex2jar
Tools to work with android .dex and java .class files
jdart
A dynamic symbolic analysis tool for Java
keras
Deep Learning library for Python. Runs on TensorFlow, Theano, or CNTK.
keras-vis
Neural network visualization toolkit for keras
models
Models and examples built with TensorFlow
PyADB
Multi-Device Android Automation using Python
QuickTheories
Property based testing for Java 8
SafeCV
Vision based algorithms for falsification of constitutional neural networks
stanford-tensorflow-tutorials
This repository contains code examples for the course CS 20SI: TensorFlow for Deep Learning Research.
StarData
Starcraft AI Research Dataset
stf
Control and manage Android devices from your browser.
tensorflow
Computation using data flow graphs for scalable machine learning