Search Results for "android x86 iso"
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Showing 102 open source projects for "android x86 iso"
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Build Agents and Models on One PlatformGemini Enterprise Agent Platform is Google Cloud's comprehensive platform for developers to build, scale, govern, and optimize agents and models. Choose from Google's most advanced models and third-party models like Anthropic's Claude Model Family.
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Download iso to install, zip is just for OTA or flash via recovery. Source at https://github.com/LineageOS-TV-x86
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AndroidTV-x86_64
https://androidtv-x86-64.sourceforge.io
Version: Trial (30 days) (Version released from 2025-11-24) 1. It is an operating system based on the open source Android platform, rebuilt from source projects (BlissOS, LineageOS, LMODroid, PrimeOS) for computers using x86 processors. 2. Android/Google TV x86_64 (also known as ATV/GTV x86_64), this is an entertainment-oriented product, providing simplified operations suitable for all ages. 3. The project is maintained by MRD_Team and individual products are shared here. ... -
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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... -
Forever Free Full-Stack Observability | Grafana CloudBuilt on open standards like Prometheus and OpenTelemetry, Grafana Cloud includes Kubernetes Monitoring, Application Observability, Incident Response, plus the AI-powered Grafana Assistant. Get started with our generous free tier today.
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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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Ventoy
A New Bootable USB Solution
x86 Legacy BIOS, IA32 UEFI, x86_64 UEFI, ARM64 UEFI and MIPS64EL UEFI are supported in the same way. Most types of OS supported (Windows/WinPE/Linux/ChromeOS/Unix/VMware/Xen...) 1100+ ISO files are tested, 90%+ distros in distrowatch.com supported. -
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openFyde
openFyde supported hardware "x86 PC with Intel HD graphics
overlay-amd64-openfyde is the official overlay repository for the amd64 (x86_64) build of openFyde, a Chromium OS-based distribution tailored for developers, power users, and alternative devices outside of Google's supported ChromeOS hardware. openFyde offers a fast, secure, and web-centric desktop experience with support for Linux apps, Android containers, and cloud integration. This overlay includes the custom configurations and firmware patches necessary to optimize openFyde for generic... -
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Mongoose Embedded Web Server
An embedded web server
Mongoose is a networking library for C/C++. It implements event-driven non-blocking APIs for TCP, UDP, HTTP, WebSocket, MQTT. It is designed for connecting devices and bringing them online. On the market since 2004, used by vast number of open source and commercial products - it even runs on the International Space Station! Mongoose makes embedded network programming fast, robust, and easy. Cross-platform, works on Linux/UNIX, MacOS, Windows, Android, FreeRTOS, etc. Supported embedded... -
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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. -
Train ML Models With SQL You Already KnowBuild and deploy ML models using familiar SQL. Automate data prep with built-in Gemini. Query 1 TB and store 10 GB free monthly.
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Robotgo
RobotGo, Go Native cross-platform GUI automation
Golang Desktop Automation. Control the mouse, keyboard, bitmap and image, read the screen, process, Window Handle and global event listener. RobotGo supports Mac, Windows, and Linux(X11); and robotgo supports arm64 and x86-amd64. Package robotgo Go native cross-platform system automation. Please make sure Golang, GCC is installed correctly before installing RobotGo. -
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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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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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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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Capstone
Capstone disassembly/disassembler framework
Capstone is a disassembly framework with the target of becoming the ultimate disasm engine for binary analysis and reversing in the security community. Created by Nguyen Anh Quynh, then developed and maintained by a small community, Capstone offers some unparalleled features. Support multiple hardware architectures: ARM, ARM64 (ARMv8), Ethereum VM, M68K, Mips, MOS65XX, PPC, Sparc, SystemZ, TMS320C64X, M680X, XCore and X86 (including X86_64). Having clean/simple/lightweight/intuitive... -
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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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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... -
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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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Shaka Player
JavaScript player library / DASH & HLS client / MSE-EME player
Shaka Player is an open-source JavaScript library for adaptive media. It plays adaptive media formats (such as DASH and HLS) in a browser, without using plugins or Flash. Instead, Shaka Player uses the open web standards MediaSource Extensions and Encrypted Media Extensions. Shaka Player also supports offline storage and playback of media using IndexedDB. Content can be stored on any browser. Storage of licenses depends on browser support. Our main goal is to make it as easy as possible to... -
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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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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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stress-ng
This is the stress-ng upstream project git repository.
This is the stress-ng upstream project git repository. stress-ng will stress test a computer system in various selectable ways. It was designed to exercise various physical subsystems of a computer as well as the various operating system kernel interfaces. stress-ng was originally intended to make a machine work hard and trip hardware issues such as thermal overruns as well as operating system bugs that only occur when a system is being thrashed hard. Use stress-ng with caution as some of... -
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Unicorn Engine
Unicorn CPU emulator framework (ARM, AArch64, M68K, Mips, Sparc
Unicorn is a lightweight multi-platform, multi-architecture CPU emulator framework. Highlight features. Multi-architectures: ARM, ARM64 (ARMv8), m68k, MIPS, PowerPC, RISC-V, S390x (SystemZ), SPARC, TriCore & x86 (include x86_64). Clean/simple/lightweight/intuitive architecture-neutral API. Implemented in pure C language, with bindings for Pharo, Crystal, Clojure, Visual Basic, Perl, Rust, Haskell, Ruby, Python, Java, Go, D, Lua, JavaScript, .NET, Delphi/Pascal & MSVC available. Native support for Windows & *nix (with macOS, Linux, Android, *BSD & Solaris confirmed). ... -
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JMRTD: Machine Readable Travel Documents
ICAO ePassport API and application
Free implementation of the MRTD (Machine Readable Travel Documents) standards as set by ICAO used in the ePassport. Consists of an API for card terminal software and a Java Card applet. -
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MegEngine
Easy-to-use deep learning framework with 3 key features
MegEngine is a fast, scalable and easy-to-use deep learning framework with 3 key features. You can represent quantization/dynamic shape/image pre-processing and even derivation in one model. After training, just put everything into your model and inference it on any platform at ease. Speed and precision problems won't bother you anymore due to the same core inside. In training, GPU memory usage could go down to one-third at the cost of only one additional line, which enables the DTR... -
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