Search Results for "hardware" - Page 10
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Showing 4061 open source projects for "hardware"
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Wan2.1
Wan2.1: Open and Advanced Large-Scale Video Generative Model
...Wan2.1 focuses on efficient video synthesis while maintaining rich semantic and aesthetic detail, enabling applications in content creation, entertainment, and research. The model supports text-to-video and image-to-video generation tasks with flexible resolution options suitable for various GPU hardware configurations. Wan2.1’s architecture balances generation quality and inference cost, paving the way for later improvements seen in Wan2.2 such as Mixture-of-Experts and enhanced aesthetics. It was trained on large-scale video and image datasets, providing generalization across diverse scenes and motion patterns. -
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MHR-CFW
A Domain-Fronting Relay that routes traffic though GAS
...It is particularly relevant for enthusiasts and developers interested in system modification and customization. The implementation includes mechanisms for safe installation and compatibility with existing hardware. It emphasizes flexibility while maintaining system stability. Overall, it provides an advanced environment for experimenting with firmware modifications. -
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HyperExpress
High performance Node.js webserver with a simple-to-use API
...Combined with the power of uWebsockets.js, a Node.js binding of uSockets written in C++, HyperExpress allows developers to unlock higher throughput for their web applications with their existing hardware. This can allow many web applications to become much more performant on optimized data serving endpoints without having to scale hardware. High-performance Node.js webserver with a simple-to-use API powered by uWebsockets.js under the hood. -
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llama.cpp
LLM inference in C/C++
llama.cpp is a high-performance C and C++ project for running large language models locally and in the cloud with minimal setup. It is built around efficient inference, broad hardware support, and the GGUF model format. The project supports many model families and has become a major foundation for local AI tools, model serving, and embedded inference workflows. It provides command-line tools, a server mode with an OpenAI-compatible API style, model conversion utilities, and extensive backend acceleration options. llama.cpp runs on CPUs and GPUs, with support for Apple silicon, x86, RISC-V, CUDA, HIP, Vulkan, SYCL, Metal, and hybrid CPU-GPU execution. ... -
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OpenClaw
Your own personal AI assistant. Any OS. Any Platform.
OpenClaw (formerly Clawdbot/Moltbot) is an open-source, self-hosted autonomous AI assistant designed to run on user-controlled hardware and bridge conversational natural language with real-world task execution, effectively acting as a proactive digital assistant rather than a reactive chatbot. It lets you send instructions through familiar messaging platforms like WhatsApp, Telegram, Discord, Slack, Signal, iMessage, and more, and then interprets those instructions to carry out actions such as managing calendars, sending emails or messages, browsing the web, executing system commands, and coordinating workflows across services — all while maintaining long-term memory and context across sessions. ... -
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Expat
Fast streaming XML parser written in C99 with >90% test coverage
Welcome to Expat, a stream-oriented XML parser library written in C. Expat excels with files too large to fit RAM, and where performance and flexibility are crucial. There are a number of applications, libraries, and hardware using Expat, as well as bindings and 3rd-party wrappers. Expat is packaged everywhere. This is Expat, a C99 library for parsing XML 1.0 Fourth Edition, started by James Clark in 1997. Expat is a stream-oriented XML parser. This means that you register handlers with the parser before starting the parse. These handlers are called when the parser discovers the associated structures in the document being parsed. ... -
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FISSURE
The RF and reverse engineering framework for everyone
...The platform supports workflows related to signal discovery, demodulation, packet inspection, fuzzing, and attack simulation, making it useful for both defensive research and controlled lab testing. Its architecture is oriented toward extensibility, so users can integrate additional hardware, signal-processing components, and protocol-specific modules depending on their needs. -
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node-llama-cpp
Run AI models locally on your machine with node.js bindings for llama
...By using native bindings and optimized model execution, the framework allows developers to integrate advanced language model capabilities into desktop applications, server software, and command-line tools. The system automatically detects the available hardware on a machine and selects the most appropriate compute backend, including CPU or GPU acceleration. Developers can use the library to perform tasks such as text generation, conversational chat, embedding generation, and structured output generation. Because it runs models locally, the platform is particularly useful for privacy-sensitive environments or offline AI deployments. -
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mistral.rs
Fast, flexible LLM inference
...It provides multiple entry points for developers, including a CLI for running models locally and an HTTP server that exposes an OpenAI-compatible API surface for easy integration with existing clients. The project includes hardware-aware tooling that can benchmark a system and choose sensible quantization and device-mapping strategies, helping users get strong performance without manual tuning. It also supports serving multiple models from the same server process, enabling routing or quick switching between models depending on workload needs. For user-facing testing, mistral.rs can provide a built-in web UI, and it also offers a dedicated lightweight web chat interface that supports richer interaction patterns. -
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MimiClaw
Run OpenClaw on a $5 chip
...Even though it’s running on minimal hardware, MimiClaw maintains local memory that persists across power cycles, enabling context continuity over time without relying on cloud services. Its architecture emphasizes privacy, low power, and portability, ideal for personal or hobbyist use cases where privacy and local control matter. -
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Mozc Devices
Circuit diagrams and firmware source code for Gboard DIY keyboards
mozc-devices is an open source collection of circuit diagrams, firmware, and technical documentation for a series of experimental and often humorous Gboard and Google Japanese Input hardware keyboards, many of which were originally released as April Fools’ projects by Google Japan. Each subproject in the repository corresponds to a unique input device prototype, including versions such as the Drum Set, Morse Code, Patapata, Magic Hand, Piropiro, Physical Flick, Puchi Puchi, Nazoru, Mageru, Yunomi, Bar, Caps, Double Sided, and Dial editions. ... -
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Clippy
Clippy, now with some AI
...Clippy integrates with the llama.cpp runtime to run models directly on a user’s computer without requiring cloud-based AI services. It supports models in the GGUF format, which allows it to run many publicly available open-source LLMs efficiently on consumer hardware. Users interact with the system through a simple animated assistant interface that can answer questions, generate text, and perform conversational tasks. The application includes one-click installation support for several popular models such as Meta’s Llama, Google’s Gemma, and other open models. -
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ispc
Intel SPMD Program Compiler
...Under the SPMD model, the programmer writes a program that generally appears to be a regular serial program, though the execution model is actually that a number of program instances execute in parallel on the hardware. ispc compiles a C-based SPMD programming language to run on the SIMD units of CPUs and GPUs; it frequently provides a 3x or more speedup on architectures with 4-wide vector SSE units and 5x-6x on architectures with 8-wide AVX vector units, without any of the difficulty of writing intrinsics code. Parallelization across multiple cores is also supported by ispc, making it possible to write programs that achieve performance improvement that scales by both numbers of cores and vector unit size. ... -
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Lutris
Lutris desktop client in Python
Lutris is a video game preservation platform aiming to keep your video game collection up and running for the years to come. Over the years, video games have gone through many different hardware and software platforms. By offering the best software available to run your games, Lutris makes it easy to run all your games, old and new. We provide emulators, compatibility layers and game engine re-implementations needed to run games in the most optimal way, often offering an enhanced experience compared to the original platform. ... -
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OpenRW
Recreation of the classic Grand Theft Auto III game executable
...By re-writing the engine from scratch under a permissive, community-friendly license (GPLv3), OpenRW ensures long-term preservation, mod-friendliness, and better hardware compatibility (modern GPUs, controllers, cross-platform input, etc.). For developers, it also offers tools such as a “script tracer” to inspect in-game scripts opcode by opcode, a data-file viewer (RWViewer) for studying object data, models, and map files. -
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Bend
A massively parallel, high-level programming language
Bend is an interactive programming environment (REPL) built on top of the Kotlin language, designed to allow users to explore, experiment, and learn Kotlin in a live, feedback-driven manner. The tool lets you define variables, functions, or values at the prompt and iteratively refine them—immediately seeing output and types—while preserving state across commands. It emphasizes discoverability and experimentation: users can inspect functions, call them on sample inputs, and evolve logic... -
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Hangfire
An easy way to perform background job processing
An easy way to perform background processing in .NET and .NET Core applications. No Windows Service or separate process required. Backed by persistent storage. Open and free for commercial use. Easy to set up, easy to use. No Windows Service, no Windows Scheduler, no separate applications required. Background jobs are regular static or instance .NET methods with regular arguments, no base class or interface implementation required. Once a background job was created without any exception,... -
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Skylight
Project the aircraft passing overhead onto your ceiling in real time
...Its main value is combining flight tracking, astronomy, projection art, and Raspberry Pi hardware into a practical interactive installation. -
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Wrapper for VideoStation
Synology VideoStation and DLNA FFmpeg Wrapper with AAC, DTS, EAC3
...The tool provides an installer that automates patching, configuration, and codec management, making advanced functionality accessible without manual system modification. It supports both hardware and software transcoding, improving playback compatibility across devices. The project also includes options for configuring audio codec priorities and enabling multi-channel output such as 5.1 audio. It is compatible with modern Synology DSM versions and integrates directly into existing media server workflows. Overall, it enhances media server flexibility by removing codec restrictions and improving playback support. -
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Emulators written in JavaScript
A list of emulators written in the JavaScript programming language
...The project originated as a collection of emulators shared within developer communities and has grown into a valuable reference for anyone interested in web-based emulation technologies. It highlights the versatility of JavaScript and WebAssembly in recreating legacy hardware environments directly within a browser. By aggregating these projects, JSEmu provides an accessible entry point for exploring different emulator implementations and comparing approaches across systems. -
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Checkmate
Checkmate is an open-source, self-hosted tool
...The application continuously checks whether websites and services are accessible and performing optimally, generating alerts and reports when availability or performance degrades. It supports detailed infrastructure monitoring through an optional agent called Capture, which collects hardware metrics such as CPU, memory, disk usage, and temperature from remote machines. The system is designed to scale, having been stress-tested with more than a thousand active monitors without major performance issues. Checkmate also includes incident tracking and notification capabilities so teams can quickly respond to outages or anomalies. ... -
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ANTIRTOS
Function pointers queues classes library for Arduino
ANTIRTOS is a compact real-time operating system (RTOS) written in ANSI C for microcontrollers and embedded systems. It is designed to be simple, portable, and efficient, making it ideal for resource-constrained environments such as IoT devices, robotics, and educational hardware projects. ANTIRTOS features a basic scheduler, support for cooperative and preemptive multitasking, and offers portability across different CPU architectures with minimal changes. Its simplicity and clarity make it a great starting point for learning real-time systems. -
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tslib
Touchscreen access library
C library for filtering touchscreen events. tslib consists of the library libts and tools that help you calibrate and use it in your environment. tslib runs on various hardware architectures and operating systems, including GNU/Linux, FreeBSD, or Android/Linux. Apart from building the latest tarball release, running ./configure, make, and make install, tslib is available from distributors like Arch Linux / Arch Linux ARM, Buildroot, Debian / Ubuntu, Fedora, or OpenSUSE and their package management. -
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Braket.jl
Experimental Julia implementation of the Amazon Braket SDK
Braket.jl is not an officially supported AWS product. This package is a Julia implementation of the Amazon Braket SDK allowing customers to access Quantum Hardware and Simulators. This is experimental software, and support may be discontinued in the future. For a fully supported SDK, please use the Python SDK. We may change, remove, or deprecate parts of the API when making new releases. Please review the CHANGELOG for information about changes in each release. -
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ArrayFire
ArrayFire, a general purpose GPU library
ArrayFire is a general-purpose tensor library that simplifies the process of software development for the parallel architectures found in CPUs, GPUs, and other hardware acceleration devices. The library serves users in every technical computing market. Data structures in ArrayFire are smartly managed to avoid costly memory transfers and to take advantage of each performance feature provided by the underlying hardware. The community of ArrayFire developers invites you to build with us if you're interested and able to write top performing tensor functions. ...
