A framework for automated extraction of static and dynamic features from Android applications
- android-malware-detection
- android-analysis
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A framework for automated extraction of static and dynamic features from Android applications
A federated social home
Neural networks toolbox focused on medical image analysis
A Python RESTful API framework for online malware analysis and threat intelligence services.
Set of tools for security testing of Internet of Things devices using specific network IoT protocols
A framework for orchestrating forensic collection, processing and data export
Visualize network topologies and collect graph statistics based on pcap files
Search and filter videos based on objects that appear in them using convolutional neural networks
DC3 Malware Configuration Parser (DC3-MWCP) is a framework for parsing configuration information from malware. The information extracted from malware includes items such as addresses, passwords, filenames, and mutex names.
AgML is a centralized framework for agricultural machine learning. AgML provides access to public agricultural datasets for common agricultural deep learning tasks, with standard benchmarks and pretrained models, as well the ability to generate synthetic data and annotations.
The official implementation of 3D Equivariant Diffusion for Target-Aware Molecule Generation and Affinity Prediction (ICLR 2023)
The Cold Disk Quick Response (CDQR) tool is a fast and easy to use forensic artifact parsing tool that works on disk images, mounted drives and extracted artifacts from Windows, Linux, MacOS, and Android devices
The Simplest DCGAN Implementation
End-To-End Memory Network using Tensorflow
A unified framework for tabular probabilistic regression, time-to-event prediction, and probability distributions in python
Media Fuzzing Framework for Android
A Claude skill for directing, building and verifying code-rendered videos (HTML/Canvas → MP4): principles, gated workflow, QA scripts and evals.
A Unified Framework for Efficient RSI Research
CANToolz - framework for black-box CAN network analysis
a socket mock framework - for all kinds of socket animals, web-clients included
TranslatedMCP desktop companion for AI agent status, usage tracking, and everyday tools. Anything Universe · Desktop companion and entry point to everyday tools.
Easy to use test framework for Jupyter Notebooks
GraphDTA: Predicting drug-target binding affinity with graph neural networks
Source code for "DeepDTA: deep drug-target binding affinity prediction"