Search Results for "android arm"
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Showing 19 open source projects for "android arm"
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opencv-mobile
The minimal opencv for Android, iOS, ARM Linux, Windows, Linux, MacOS
The minimal opencv for Android, iOS, ARM Linux, Windows, Linux, MacOS, WebAssembly. This project provides the minimal build of opencv library for the Android, iOS and ARM Linux platforms. Packages for Windows, Linux, MacOS, and WebAssembly are available now. We provide prebuild binary packages for opencv 2.4.13.7, 3.4.18, and 4.6.0. We also provide prebuild binary package for iOS with bitcode enabled, that the official package lacks. -
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whisper.cpp
Port of OpenAI's Whisper model in C/C++
whisper.cpp is a lightweight, C/C++ reimplementation of OpenAI’s Whisper automatic speech recognition (ASR) model—designed for efficient, standalone transcription without external dependencies. The entire high-level implementation of the model is contained in whisper.h and whisper.cpp. The rest of the code is part of the ggml machine learning library. The command downloads the base.en model converted to custom ggml format and runs the inference on all .wav samples in the folder samples.... -
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MNN
MNN is a blazing fast, lightweight deep learning framework
MNN is a highly efficient and lightweight deep learning framework. It supports inference and training of deep learning models, and has industry leading performance for inference and training on-device. At present, MNN has been integrated in more than 20 apps of Alibaba Inc, such as Taobao, Tmall, Youku, Dingtalk, Xianyu and etc., covering more than 70 usage scenarios such as live broadcast, short video capture, search recommendation, product searching by image, interactive marketing, equity... -
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Cactus
Low-latency AI inference engine optimized for mobile devices
Cactus is a low-latency, energy-efficient AI inference framework designed specifically for mobile devices and wearables, enabling advanced machine learning capabilities directly on-device. It provides a full-stack architecture composed of an inference engine, a computation graph system, and highly optimized hardware kernels tailored for ARM-based processors. Cactus emphasizes efficient memory usage through techniques such as zero-copy computation graphs and quantized model formats, allowing... -
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Xash3D FWGS Engine
Xash3D FWGS engine
Xash3D FWGS is an open-source fork and extension of the original GoldSrc-based engine (from the classic era of first-person shooters), aimed at providing compatibility with the original engine (e.g. games built on it) while extending and modernizing its capabilities. The engine supports multiple rendering backends (OpenGL, GLES, software fallback), modern platforms (desktop OSes, mobile, etc.), and updated features such as better multiplayer, voice chat, IPv6 support, improved virtual... -
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unidbg
Allows you to emulate an Android native library
Allows you to emulate an Android native library, and an experimental iOS emulation. This is an educational project to learn more about the ELF/MachO file format and ARM assembly. Emulation of the JNI Invocation API so JNI_OnLoad can be called. Support JavaVM, JNIEnv. Emulation of syscalls instruction. Support ARM32 and ARM64. Inline hook, thanks to Dobby. Android import hook, thanks to xHook. iOS fishhook and substrate and whale hook. unicorn backend support simple console debugger, gdb stub, instruction trace, memory read/write trace. ... -
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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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CPU Features
A cross platform C99 library to get cpu features at runtime
...It enables applications to determine which instruction sets (such as SSE, AVX, or NEON) are supported on the host machine, allowing developers to optimize performance dynamically. The library supports numerous architectures—including x86, ARM, AArch64, MIPS, POWER, RISCV, LoongArch, and s390x—and works on major operating systems like Linux, macOS, Windows, FreeBSD, Android, and iOS. Implemented in portable C99, it is thread-safe, has no memory allocations, and raises no exceptions, making it suitable even for use in low-level system libraries. The design emphasizes portability, extensibility, and compatibility with sandboxed or restricted environments where direct CPU access may be limited. -
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Halide
A language for fast, portable data-parallel computation
Halide is a programming language for fast, portable data-parallel computation. It was designed to make writing high-performance image and array processing code much easier on modern machines. It works on all major operating systems and with several CPU architectures (X86, ARM, MIPS, Hexagon, PowerPC) and GPU Compute APIs (CUDA, OpenCL, OpenGL, among others). It isn't a standalone programming language however; rather it is embedded in C++ which means that you write C++ code, building an... -
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xrdp
An open source RDP server
...Session resizing (both on-connect and on-the-fly). RDP/VNC proxy (connect to another RDP/VNC server via xrdp). xrdp primarily targets GNU/Linux operating system. x86 (including x86-64) and ARM processors are most mature architecture to run xrdp on. Most Linux distributions should distribute the latest release of xrdp in their repository. -
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ncnn
High-performance neural network inference framework for mobile
ncnn is a high-performance neural network inference computing framework designed specifically for mobile platforms. It brings artificial intelligence right at your fingertips with no third-party dependencies, and speeds faster than all other known open source frameworks for mobile phone cpu. ncnn allows developers to easily deploy deep learning algorithm models to the mobile platform and create intelligent APPs. It is cross-platform and supports most commonly used CNN networks, including... -
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Hippy
Tool to build cross-platform and high-performance awesome apps
...For Android, we recommend using the real cellphone for better develop experience, because Hippy is using X5 JS engine which can't support x86 simulator, as well as ARM simulator has a low performance. For iOS, we recommend to use iOS simulator when first try. However, you can change the Xcode configuration to install the app to iPhone if you are an iOS expert. -
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TBOX
A glib-like multi-platform c library
...The project focuses on making C development easier and provides many modules (.e.g stream, coroutine, regex, container, algorithm ...), so that any developer can quickly pick it up and enjoy the productivity boost when developing in C language. It supports the following platforms: Windows, Macosx, Linux, Android, iOS, BSD and etc. Supports file, data, http and socket source. Supports the stream filter for gzip, charset. etc. Implements stream transfer. Implements the static buffer stream for parsing data. Supports coroutine and implements asynchronous operation. The coroutine library. Provides high-performance coroutine switch. Supports arm, arm64, x86, x86_64. ... -
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Dead Deer 3.14.88.2026
3D modeler, 3D game maker, 3D demo maker
...Scripting language allows you to code interactions in pseudo-C with the animation and synthesize your own rendering with own-made shaders. Import FBX, BLEND, GLTF, OBJ, 3DS, DAE, X, XML, STL, PCB, ASC, PLY, GSPLATS. Cross-platform project WINDOWS 32/64 /MACOSX 10.6/ 10.8+/APPLSilicon /LINUX/iOS/ANDROID/WINDOWS PHONE/GOOGLE VR/OPEN VR/OCULUS VR/WEBASM/UWP8/10/OPENXR, PIs (ARM32/64), RISCV Players and Editors. Android .NED Player (install APK and "open with" with file managers) APK generator for Android. Support for: Direct3D9 (SM3) Direct3D10 (SM4) Direct3D11 (SM5) Direct3D12 (SM5) OpenGL and GLSL OpenGLES 2/3 Apple METAL Retina, UHD. ... -
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Wildcat- Simple "C" XML reader
Wildcat: Simple "C" XML reader
A simple in C writen XML-Parser. Don't use macros or other non standard C-language extension. Object Oriented implementation. Support only single byte character sets. Tested with ARM-gcc 7.5 and Visual Studio 2019 C compiler. -
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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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Mixed Reality Toolkit
Accelerate cross-platform MR app development in Unity
MRTK-Unity is a Microsoft-driven project that provides a set of components and features, used to accelerate cross-platform MR app development in Unity. Provides the cross-platform input system and building blocks for spatial interactions and UI. Enables rapid prototyping via in-editor simulation that allows you to see changes immediately. Operates as an extensible framework that provides developers the ability to swap out core components. With the MRTK Examples Hub, you can try various... -
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MACE
Deep learning inference framework optimized for mobile platforms
Mobile AI Compute Engine (or MACE for short) is a deep learning inference framework optimized for mobile heterogeneous computing on Android, iOS, Linux and Windows devices. Runtime is optimized with NEON, OpenCL and Hexagon, and Winograd algorithm is introduced to speed up convolution operations. The initialization is also optimized to be faster. Chip-dependent power options like big.LITTLE scheduling, Adreno GPU hints are included as advanced APIs. UI responsiveness guarantee is sometimes... -
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builder
Easily build software for your Linux distro repo
This project is a wrapper script using generated profiles that include any desired patches and files (such as .desktop, icons, and configurations) to easily update, build, and package the software to be made available in your Linux distributions' online repository. So instead of worrying about how to compile for autoconf, autogen, bootstrap, cmake, or the traditional configure, make, make install, for each software title in your repo, builder will take care of all those details so you can...
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