Search Results for "android x64 arm"
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Showing 123 open source projects for "android x64 arm"
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1
Thorium for Android
High-performance, privacy-focused browser built as a fork of Chromium
...The Android branch adapts these enhancements to work on ARM and ARM64 devices, offering users a familiar yet distinct browsing experience with added performance tuning over standard mobile browsers. It typically includes the same underlying engine that scored high in independent performance benchmarks and leverages optimization flags and compiler improvements to boost responsiveness. -
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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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Windows File Manager
Original Windows file manager (winfile) with enhancements
The Windows File Manager lives again and runs as a native x86 and x64 desktop app on all currently supported version of Windows, including Windows 10. I welcome your thoughts, comments and suggestions. There are two primary versions of the source code in the master branch, original_plus tag, which refers to the source for WinFile as of Windows NT4 with minimal changes so that it compiles with Visual Studio and runs on current Windows. And current master, which contains my personal changes /... -
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Magisk on WSA
Integrate Magisk root and Google Apps into WSA
MagiskOnWSALocal is an open source project by LSPosed that integrates Magisk root and Google Apps (GApps) into Windows Subsystem for Android (WSA). It automates the process of building customized WSA images with root access, replacing Amazon Appstore with Google Play services. The repository includes scripts that streamline setup across Linux distributions like Ubuntu, Debian, Arch, and openSUSE, supporting both ARM64 and x64 architectures. It offers features such as unattended installation, automatic developer mode activation, and seamless updates without data loss. ... -
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WSA-Script
Integrate Magisk root and Google Apps into WSA
WSA-Script is a community-driven automation and scripting toolkit that helps Windows users extend the Windows Subsystem for Android (WSA) by integrating optional features like Magisk (for root access) and Google Apps into the otherwise vanilla WSA environment, leveraging GitHub Actions and scripted installers to do much of the heavy lifting. The project provides a way to download and unpack custom builds of the WSA package that bundle these enhancements and guide users through installation... -
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DynamoRIO
Dynamic Instrumentation Tool Platform
...Unlike many dynamic tool systems, DynamoRIO is not limited to insertion of callouts/trampolines and allows arbitrary modifications to application instructions via a powerful IA-32/AMD64/ARM/AArch64 instruction manipulation library. DynamoRIO provides efficient, transparent, and comprehensive manipulation of unmodified applications running on stock operating systems (Windows, Linux, or Android) and commodity IA-32, AMD64, ARM, and AArch64 hardware. Mac OSX support is in progress. -
7
Language support for Java for VS Code
Java Language Support for Visual Studio Code
Provides Java ™ language support via Eclipse ™ JDT Language Server, which utilizes Eclipse ™ JDT, M2Eclipse and Buildship. Now that Java extension will publish platform-specific versions, it will embed a JRE for supported platforms such as win32-x64, Linux-x64, Linux-arm64, darwin-x64, and darwin-arm64. The embedded JRE is used to launch the Language Server for Java. Users are only responsible for configuring Project JDKs to compile your Java projects. -
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LAMDA
Android reverse engineering & automation framework
Android reverse engineering & automation framework. The most powerful Android capture/reverse/HOOK & cloud phone/remote desktop/automation framework in history, your work has never been so easy and fast. LAMDA is an auxiliary framework for reverse engineering and automation. It is designed to reduce the time and trivial problems of security analysts and application testers. It replaces a large number of manual operations with a programmed interface. It is not a single-function framework. To... -
9
Drone
Drone is a Container-Native, Continuous Delivery Platform
...Drone integrates seamlessly with multiple source code management systems, including GitHub, GitHubEnterprise, Bitbucket, and GitLab. Drone natively supports multiple operating systems and architectures, including Linux x64, ARM, ARM64, and Windows x64. Drone works with any language, database, or service that runs inside a Docker container. Choose from thousands of public Docker images or provide your own. Drone uses containers to drop pre‑configured steps into your pipeline. Choose from hundreds of existing plugins, or create your own. Drone makes advanced customization easy. ... -
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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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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... -
13
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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Unicorn Engine
Unicorn CPU emulator framework (ARM, AArch64, M68K, Mips, Sparc
...Native support for Windows & *nix (with macOS, Linux, Android, *BSD & Solaris confirmed). High performance by using the Just-In-Time compiler technique. Support fine-grained instrumentation at various levels. Thread-safe by design. Distributed under free software license GPLv2. Another significant change on this version is the addition of some new APIs to allow better control on how the core engine works. -
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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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SQLite JDBC Driver
SQLite JDBC Driver
SQLite JDBC is a library for accessing and creating SQLite database files in Java. Our SQLiteJDBC library requires no configuration since native libraries for major OSs, including Windows, Mac OS X, Linux etc., are assembled into a single JAR (Java Archive) file. The usage is quite simple; download our sqlite-jdbc library, then append the library (JAR file) to your classpath. SQLite JDBC is a library for accessing SQLite databases through the JDBC API. SQLite supports on-memory database... -
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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. ... -
18
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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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... -
20
Simd Library
C++ image processing and machine learning library with using of SIMD
...The algorithms are optimized with using of different SIMD CPU extensions. In particular, the library supports the following CPU extensions: SSE, AVX, AVX-512, and AMX for x86/x64, and NEON for ARM. The Simd Library has C API and also contains useful C++ classes and functions to facilitate access to C API. The library supports dynamic and static linking, 32-bit and 64-bit Windows and Linux, MSVS, G++ and Clang compilers, MSVS projects, and CMake build systems. -
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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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mllm
Fast Multimodal LLM on Mobile Devices
mllm is an open-source inference engine designed to run multimodal large language models efficiently on mobile devices and edge computing environments. The framework focuses on delivering high-performance AI inference in resource-constrained systems such as smartphones, embedded hardware, and lightweight computing platforms. Implemented primarily in C and C++, it is designed to operate with minimal external dependencies while taking advantage of hardware-specific acceleration technologies... -
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Compose Kotlin UI
A modern UI framework for Kotlin that makes building performant
Fast reactive desktop UIs for Kotlin, based on Google's modern toolkit and brought to you by JetBrains. Compose for Desktop simplifies and accelerates UI development for desktop applications, and allows extensive UI code sharing between Android and desktop applications. Currently in alpha. Compose for Desktop provides a declarative and reactive approach to creating user interfaces with Kotlin. Combine composable functions to build your user interface, and enjoy full tooling support from your IDE and build system, no XML or templating language required. Compose for Desktop targets the JVM, and supports high-performance, hardware-accelerated UI rendering on all major desktop platforms (macOS, Windows, and Linux/x64) by leveraging the powerful native Skia graphics library. ... -
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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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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.
