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Source channel @githubtrending · Post #15392 · Jan 6

#powershell#flare#malware_analysis#reverse_engineering FLARE-VM lets you quickly set up a full reverse engineering and malware analysis environment on a Windows 10+ virtual machine using simple scripts with Chocolatey and Boxstarter. Prepare a VM with 60GB disk, 2GB RAM, no spaces in username, internet, disabled Windows Updates, Tamper Protection, and anti-malware; then run the installer.ps1 script as admin after downloading it. This saves you hours of manual tool installs like IDA Free, Ghidra, and Binary Ninja, giving a ready-to-use, snapshot-revertible lab to safely analyze threats and boost your cybersecurity work. https://github.com/mandiant/flare-vm

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djangoproject

@djangoproject · Post #274 · 03/18/2017, 01:48 AM

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https://github.com/riga/tfdeploy Google's TensorFlow framework is taking off big-time now that it's at a full 1.0 release. One common question about it: How can I make use of the models I train in TensorFlow without using TensorFlow itself? #Tfdeploy is a partial answer to that question. It exports a trained TensorFlow model to "a simple #NumPy-based callable," meaning the model can be used in Python with Tfdeploy and the the NumPy math-and-stats library as the only dependencies. Most of the operations you can perform in TensorFlow can also be performed in Tfdeploy, and you can extend the behaviors of the library by way of standard Python metaphors (such as overloading a class). Now the bad news: Tfdeploy doesn't support GPU acceleration, if only because NumPy doesn't do that. Tfdeploy's creator suggests using the gNumPy project as a possible replacement. #Machine_learning

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