The repository contains the python implementation of the Android Malware Detection paper: "Empirical assessment of machine learning-based malware detectors for Android: Measuring the Gap between In-the-Lab and In-the-Wild Validation Scenarios"

(WIP)The deployment framework aims to provide a simple, lightweight, fast integrated, pipelined deployment framework for algorithm service that ensures reliability, high concurrency and scalability of services.

Tutorials for deep learning

Anti-malware for Android using machine learning

Pytorch porting of C3D network, with Sports1M weights

detect trojans by easy way 🛡️

The SpeechBrain project aims to build a novel speech toolkit fully based on PyTorch. With SpeechBrain users can easily create speech processing systems, ranging from speech recognition (both HMM/DNN and end-to-end), speaker recognition, speech enhancement, speech separation, multi-microphone speech processing, and many others.

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Collection of malware persistence and hunting information. Be a persistent persistence hunter!

⛔🛡️ WeDefend - Monitor and Protect Windows from Remote Access Trojan

A binary visualization tool to aid with reverse engineering and malware detection similar to Cantor.Dust

Distributed Deep Learning on AWS Using CloudFormation (CFN), MXNet and TensorFlow

Malware Sample Sources

[CVPR'19] Dataset and code used in the research project Scan2CAD: Learning CAD Model Alignment in RGB-D Scans

A professionally curated list of awesome Conformal Prediction videos, tutorials, books, papers, PhD and MSc theses, articles and open-source libraries.

👉 CARLA resources such as tutorial, blog, code and etc https://github.com/carla-simulator/carla

DAWNBench: An End-to-End Deep Learning Benchmark and Competition

AssemblyLine 4 - File triage and malware analysis

http://js.baidu.com/

Automatic feature engineering using Generative Adversarial Networks using Deeplearning4j and Apache Spark.