Search Results for "framework-arduinoststm32"

Showing 12 open source projects for "framework-arduinoststm32"

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  • 1
    fairseq2

    fairseq2

    FAIR Sequence Modeling Toolkit 2

    fairseq2 is a modern, modular sequence modeling framework developed by Meta AI Research as a complete redesign of the original fairseq library. Built from the ground up for scalability, composability, and research flexibility, fairseq2 supports a broad range of language, speech, and multimodal content generation tasks, including instruction fine-tuning, reinforcement learning from human feedback (RLHF), and large-scale multilingual modeling.
    Downloads: 2 This Week
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  • 2
    Breakpad

    Breakpad

    Mirror of Google Breakpad project

    ...It is designed to help developers diagnose and fix crashes efficiently by generating detailed crash dumps, stack traces, and diagnostic data whenever an application fails unexpectedly. The framework includes libraries for embedding crash-handling functionality directly into applications and tools for processing and symbolizing crash dumps on the server side. Breakpad supports multiple operating systems, including Linux, macOS, and Windows, and integrates easily into existing build systems. Its flexible architecture enables developers to automate crash collection and reporting pipelines, making it a popular choice for large-scale software projects and products.
    Downloads: 3 This Week
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  • 3
    Kaldi

    Kaldi

    kaldi-asr/kaldi is the official location of the Kaldi project

    Kaldi is an open source toolkit for speech recognition research. It provides a powerful framework for building state-of-the-art automatic speech recognition (ASR) systems, with support for deep neural networks, Gaussian mixture models, hidden Markov models, and other advanced techniques. The toolkit is widely used in both academia and industry due to its flexibility, extensibility, and strong community support. Kaldi is designed for researchers who need a highly customizable environment to experiment with new algorithms, as well as for practitioners who want robust, production-ready ASR pipelines. ...
    Downloads: 0 This Week
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  • 4
    XNNPACK

    XNNPACK

    High-efficiency floating-point neural network inference operators

    XNNPACK is a highly optimized, low-level neural network inference library developed by Google for accelerating deep learning workloads across a variety of hardware architectures, including ARM, x86, WebAssembly, and RISC-V. Rather than serving as a standalone ML framework, XNNPACK provides high-performance computational primitives—such as convolutions, pooling, activation functions, and arithmetic operations—that are integrated into higher-level frameworks like TensorFlow Lite, PyTorch Mobile, ONNX Runtime, TensorFlow.js, and MediaPipe. The library is written in C/C++ and designed for maximum portability, efficiency, and performance, leveraging platform-specific instruction sets (e.g., NEON, AVX, SIMD) for optimized execution. ...
    Downloads: 0 This Week
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  • 5
    LEAF Linux Embedded Appliance Framework

    LEAF Linux Embedded Appliance Framework

    A secure, feature-rich, customizable embedded Linux network appliance

    A secure, feature-rich, customizable embedded Linux network appliance for use in a variety of network topologies. Although it can be used in other ways; its primarily used as a Internet gateway, router, firewall, and wireless access point. LEAF documentation wiki http://bering-uclibc.zetam.org
    Downloads: 72 This Week
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  • 6
    Cmockery

    Cmockery

    A lightweight library to simplify and generalize writing unit tests

    Cmockery is a lightweight unit testing framework for the C programming language, designed to make writing and executing C tests simple and portable. It allows developers to test the logic of C modules in isolation by replacing external dependencies with mock functions. Cmockery focuses on testing functionality rather than environment-specific behavior, making it ideal for projects where code must run on diverse or constrained systems.
    Downloads: 0 This Week
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  • 7

    Software Automation Framework Support

    Multiplatform data-driven test automation execution services

    SAFS is a software test automation framework supporting data-driven (aka keyword-driven) functional test automation and associated services. The framework can run stand-alone on Windows, Linux, and Mac as well as integrate the use of IBM Rational Functional Tester, IBM Rational Robot, Smart Bear/AutomatedQA Test Complete, Apple XCode UIAutomation, Android SDK Automaton, Thoughtworks Selenium, and several other tools.
    Downloads: 0 This Week
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  • 8
    Crossplatform framework for developing projects which provide services.
    Downloads: 0 This Week
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  • 9
    The project is an equivalent of a well known systems administration tool "cfengine". The aim of the project is to provide a safer and extensible framework for distributed system configuration management, using standard tools only.
    Downloads: 0 This Week
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  • 10
    The DbtuTools project is a framework for working with the UNIX / Wintel versions of IBM's DB2 UDB database family.
    Downloads: 0 This Week
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  • 11

    phpkernel

    phpkernel

    Framework orientado a objeto.
    Downloads: 0 This Week
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  • 12
    CQSAT is a powerful, comprehensive and extensible framework for static analysis of program source code and detection of software defects.
    Downloads: 0 This Week
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