Search Results for "malware-samples"

MathMod is a portable interactive plotting and graphing program for Windows, Linux, MacOSX and many other platforms. MathMod allows to plot 3D mathematical surfaces, described by implicit or parametric equations, and offers a very large database of model samples that can be generated with it. It's Free and Open Source. Change-log for MathMod-13.0 (15/11/2025) 1) Scripts generator to add thickness to iso/parametric surfaces 2) Undo/Redo commands for navigating through previous scripts 3) New scripts, Bug-fixes, code optimization and documentation update For a complete list of changes made during the course of development, please visit: https://github.com/users/parisolab/projects/2

...This project is for common arch binaries, C++ sources, tests & support tickets. No installation, juste get binary for your architecture : > See [Files] > binary.{version} Library of smart samples of grammars> https://sourceforge.net/projects/xbnf/ Docker image which embeds the Linux/64bits binary and the library. https://hub.docker.com/r/damolab/neurotranslator/ Docker image with GNU C++ toolchain to build the xbnf command: https://hub.docker.com/r/damolab/neurotranslator-compil French blog dedicated to XBNF : https://damolab.zapto.org/xbnf/

The Art of Programming (Second Edition) is a curated collection of programming problems and solutions originally derived from the Microsoft 100 Interview Questions blog series, later refined into a long-running tutorial and ultimately a published book. Created by July, the series began in 2010 and has since evolved into an in-depth exploration of algorithmic thinking, data structures, and coding interview preparation. The repository brings together 42 classic programming problems from the...

...You’ll also get to code your own easy-to-follow recognition program in Python or C++, and train your own DNN models onboard Jetson with PyTorch. Ready to dive into deep learning? It only takes two days. We’ll provide you with all the tools you need, including easy to follow guides, software samples such as TensorRT code, and even pre-trained network models including ImageNet and DetectNet examples. Follow these directions to integrate deep learning into your platform of choice and quickly develop a proof-of-concept design.

...Building the samples can be started immediately after unzipping and setting a single environment variable. Thank you for your kind interest in RTuinOS.