Showing 6 open source projects for "android-backup-"

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    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...
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  • 2
    libjpeg-turbo

    libjpeg-turbo

    SIMD-accelerated libjpeg-compatible JPEG codec library

    libjpeg-turbo is a JPEG image codec that uses SIMD instructions (MMX, SSE2, NEON, AltiVec) to accelerate baseline JPEG compression and decompression on x86, x86-64, ARM, and PowerPC systems. On such systems, libjpeg-turbo is generally 2-6x as fast as libjpeg, all else being equal. On other types of systems, libjpeg-turbo can still outperform libjpeg by a significant amount, by virtue of its highly-optimized Huffman coding routines. In many cases, the performance of libjpeg-turbo rivals...
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    Downloads: 42,611 This Week
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  • 3
    XOS test builds

    XOS test builds

    AOSP-based Operating System (On phone tap on "Try to download anyway")

    halogenOS test builds (release builds are just a leftover) The test builds and modules are supposed to be only used by our testers. But if you are not a tester, and use these builds anyways, don't expect support if you get problems. You can report the bugs, but you have to be experienced enough to know how to revert back to a working state and how to report bugs and provide logs.
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  • 4

    FFT for ARMv6

    Fixed point 16/32 integer FFT library for the Raspberry Pi and Android

    This library is being created as I have a need to do very fast FFTs on low end devices not supporting the NEON instruction set. The Raspberry Pi is an ideal candidate for developing in gcc before porting to JNI for low spec Android devices, hence it's inclusion. Fixed point 16/32 integer FFT library suitable for the Raspberry Pi and Android devices. Includes test stubs for gcc on the Raspberry Pi and a Basic4Android wrapper from JNI. It includes hand optimised ARMv6 assembler, demonstrating techniques such as pipeline stuffing to achieve maximum performance. ...
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  • 5

    rundotso

    ARM linux run shared library rundotso dlopen dlsym Inline Assembler

    windows has rundll, rundotso is for linux load shared library(.so) and run the functions. rundotso.c you can load shared lib and run the function. It likes the rundll.exe in windows os. compiled and tested under the android ndk. you can use any arm compiler to try. adb push rundotso /data adb shell /data/rundotso /system/libc.so system "ls /data" adb shell /data/rundotso /system/libc.so printf "%d %c %s %d %c %s" 16 G HelloRundotsoTest 16 d end Have fun! Made by Biyong SUN Songjiang, Shanghai, China. Email: sunbiyong@163.com
    Downloads: 0 This Week
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  • 6

    Android on PXA270

    Android on PXA270

    ...v=lYzRSNuUsIw http://www.youtube.com/watch?v=1lmmld7LjGM http://www.youtube.com/watch?v=CNGhFmCwaxw Documents : http://sourceforge.net/projects/android-pxa270/files/BringUp_Android_on_PXA270.pdf http://sourceforge.net/projects/android-pxa270/files/Android_Porting_on_PXA270.pdf Checkout the source code : svn co https://android-pxa270.svn.sourceforge.net/svnroot/android-pxa270 android-pxa270 Project host : http://www.mask.org.tw Author : mask.chung@gmail.com Blog : http://www.mask.org.tw/blog Linkedin : http://www.linkedin.com/in/maskchung Donate: Paypal or http://www.mask.org.tw
    Downloads: 0 This Week
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