Search Results for "framework-arduinoststm32"
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8 projects for "framework-arduinoststm32" with 3 filters applied:
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Gen AI apps are built with MongoDB AtlasMongoDB Atlas is the developer-friendly database used to build, scale, and run gen AI and LLM-powered apps—without needing a separate vector database. Atlas offers built-in vector search, global availability across 115+ regions, and flexible document modeling. Start building AI apps faster, all in one place.
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pFUnit
Unit testing framework for Fortran with MPI extensions
pFUnit is now hosted and developed on GitHub. And will be completely removed from sourceforge on January 01, 2020 Please use: https://github.com/Goddard-Fortran-Ecosystem/pFUnit GitHub has been the primary host for some time now, but with the release of pFUnit 4.0 earlier in 2019, the sourceforge site is very out of date. -
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After a program has been thrown into the world in binary form, it can boomerang back as source code. The Boomerang reverse engineering framework is the first general native executable decompiler available to the public.
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FGen is a framework for Flex application. This Framework provides code generation by DSL. This framework aims labor saving and liberation from tedious coding and testing.
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The Mitochondrion project offers a transparent, event-driven software framework that provides multi-threaded objects, statecharts, a priority-driven queue and tools to trace and examine run-time interactions.
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Level Up Your Cyber Defense with External Threat ManagementMove beyond alerts. Gain full visibility, context, and control over your external attack surface to stay ahead of every threat.
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Automated Test Framework for Embedded Software: A system to perform test scripts 'in system' on embedded software. It uses Python as a high level description language and interfaces with GDB to communicate with the embedded platform.
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Pith ("Perl-Implemented Test Harness") is a lightweight, application-independent framework for building and executing functional integration tests. It allows the test code to exist wholly independently from the testing platform.
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GENet
A genetic algorithm framework for artificial neural networks.
A genetic algorithm framework to allow the evolution of synapse weights and topologies of artificial neural networks.
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