Learning operating system development using Linux kernel and Raspberry Pi
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Updated
Nov 8, 2020 - C
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Learning operating system development using Linux kernel and Raspberry Pi
The Compute Library is a set of computer vision and machine learning functions optimised for both Arm CPUs and GPUs using SIMD technologies.
Performance monitoring and benchmarking suite
DEPRECATED - DO NOT USE | Go here instead ->
An Arch Linux repository for security professionals and enthusiasts. Done the Arch Way and optimized for i686, x86_64, ARMv6, ARMv7 and ARMv8.
Prebuilt binary with Tensorflow Lite enabled (native build). For RaspberryPi / Jetson Nano. And, solved Tensorflow issues #15062,#21574,#21855,#23082,#25120,#25748,#29617,#29704,#30359.
WIP UEFI EDK2 Implementation for Nintendo Switch or generic Tegra210 platforms
MOVED TO: https://github.com/cirosantilli/linux-kernel-module-cheat#userland-assembly SEE README. ARMv7 and ARMv8 assembly userland minimal examples tutorial. Runnable asserts on x86 hosts with QEMU user mode or natively on ARM targets. Nice GDB step debug setup. Tested on Ubuntu 18.04 host and Raspberry Pi 2 and 3 targets.
Docker images for Swift on Raspberry Pi and other ARM devices from balena's base images.
We disabled daily builds some time ago. I think we should remove that from README to prevent a possible confusion.
Since #384 we can make use of the IR verification features of MLIR.
Our BConv op has a few parameter combinations where it can throw during Init or Prepare. In the converter we try to make sure that none of those cases will ev
SHA-1, SHA-256 and SHA-512 compression functions using Intel, ARMv8 and Power8 SHA intrinsics
retools: a reverse engineering toolkit for normies
Use Intel SIMD intrinsics syntax with D.
How fast can we brute force a 64-bit comparison?
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该项目已由国际合作团队接管, 为及时回复, 请使用英文交流.
This project has been taken over by the international cooperation team. In order to respond promptly, please use English to communicate.