Search Results for "hardware" - Page 7
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Showing 2172 open source projects for "hardware"
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Google AI Edge Gallery
A gallery that showcases on-device ML/GenAI use cases
...Each sample is intended to be both a learning aid and a practical starting point: code is organized to show model loading, pre/post-processing, performance measurement, and common optimization knobs (quantization, NNAPI/Delegate usage, and hardware accelerators). The repo also collects small, well-documented models and conversion scripts so developers can reproduce a pipeline from a full-size model down to a device-friendly artifact. -
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Omi
AI that sees your screen and listens to conversations
The Omi project is an open-source AI wearable ecosystem developed by Based Hardware that combines hardware, software, and cloud infrastructure to create a persistent “second brain” for capturing and processing real-world interactions. It is designed as a system that continuously listens to conversations and monitors screen activity, converting this input into structured data such as transcripts, summaries, and actionable insights in real time. -
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LibreELEC
Just enough OS for KODI
LibreELEC is a minimalist 'Just enough OS' Linux distribution for running Kodi. Our documentation can help you install and configure LibreELEC to run Kodi or develop and build installation images using our build system. -
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OpenRazer
Open source driver and user-space daemon to control Razer lighting
A collection of Linux drivers for Razer devices - providing kernel drivers, DBus services and Python bindings to interact with the DBus interface. -
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jetson-stats
Simple package for monitoring and control your NVIDIA Jetson
...It can also be imported into Python scripts, which makes it useful for custom monitoring, robotics dashboards, automation, and diagnostics. Developers working with embedded AI systems can use it to understand performance limits and troubleshoot hardware behavior during deployment. Its main value is giving Jetson users a practical, readable, and scriptable view of board health and resource usage. -
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autoresearch-mlx
Apple Silicon (MLX) port of Karpathy's autoresearch
...It maintains the core autoresearch structure, where an AI agent iteratively edits a training script, executes experiments under a fixed time budget, and evaluates results based on a defined metric such as validation bits per byte. The system is tailored for Apple hardware, leveraging unified memory and MLX capabilities to achieve efficient training on Mac devices. It includes a minimal and focused project structure consisting of data preparation utilities, a modifiable training file, and a program specification that governs the agent’s behavior. The framework logs experiment results and supports continuous iteration, enabling long-running optimization cycles that can reveal hardware-specific performance patterns. -
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Minecraft server optimization guide
Minecraft server optimization guide
...Rather than offering a single universal configuration, the guide explains how different server settings, software choices, and infrastructure decisions affect server performance and stability. It covers a wide range of topics including server software selection, configuration tuning, JVM parameters, hardware considerations, and common mistakes that can cause lag or instability. The goal of the project is to help administrators understand how the Minecraft server engine works so they can make informed decisions about optimization rather than blindly applying configuration changes. The documentation emphasizes experimentation and explains that every server has different requirements depending on player count, hardware, and gameplay style. -
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mactop
Apple Silicon Monitor Top
...It displays real-time system metrics such as CPU usage, GPU usage, ANE activity, memory usage, power consumption, temperatures, fan speeds, disk I/O, and network activity. The tool uses native Apple APIs including SMC, IOReport, IOKit, IOHIDEventSystemClient, and Mach Kernel APIs to collect detailed hardware data without requiring sudo for core monitoring. mactop supports Apple Silicon models from M1 through M5, including Pro, Max, and Ultra variants, as well as newer core types like M5 S-Cores. Users can customize the terminal interface with multiple layouts, themes, colors, update intervals, and language settings. It also offers advanced options such as headless output, Prometheus metrics, a macOS menu bar mode, overlay HUD, fan monitoring, and optional fan control. -
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PCjs Machines
The original IBM PC and other machine emulations in JavaScript
...Its design emphasizes accessibility and education, enabling users to explore historical systems without requiring specialized hardware or installations. The project also includes tools for embedding emulated machines into web pages, making it useful for documentation and teaching purposes. -
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Project MINI RACK
Miniature rack builds, for portable or compact Homelabs
Project MINI RACK is a project dedicated to designing, documenting, and showcasing compact, portable rack-mount or small-form factor “mini” labs, suitable for home labs, edge deployments, or mobile network stacks. The repository contains build guides, hardware lists, layout ideas (10” wide racks, 1U/2U modules, custom shelves), 3D printable components, and real-world examples of mini homelab rigs. Its goal is to help hobbyists, devops engineers, or tinkerers understand how to build efficient, space-conscious infrastructure rather than large server racks. It also covers the ecosystem around small racks: power distribution units (PDUs), patch panels, cable management, 3D-printed rack shelves, and integration of SBCs, mini-PCs, switches, and storage. ... -
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FLUX.1
Official inference repo for FLUX.1 models
FLUX.1 repository contains inference code and tooling for the FLUX.1 text-to-image diffusion models, enabling developers and researchers to generate and edit images from natural-language prompts using open-weight versions of the model on their own hardware or within custom applications. The project is part of a larger family of FLUX models developed by Black Forest Labs, designed to produce high-quality, detailed visuals from text descriptions with competitive prompt adherence and artistic fidelity. This repo focuses on running the open-source model variants efficiently, providing scripts, model loading logic, and examples for local installations, and supports integration with Python toolchains like PyTorch and popular generative pipelines. ... -
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MinIO
High performance object storage server compatible with Amazon S3 APIs
MinIO is a high performance object storage server that is API compatible with Amazon S3 cloud storage service. MinIO makes it easy to build high performance, cloud native data infrastructure for machine learning, analytics and application data workloads. It is incredibly fast, enabling object storage to operate as the primary storage tier for a diverse set of workloads. It is also built to be cloud native and enterprise ready. MinIO is being used worldwide in various production... -
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MonitorControl
Control your display's brightness & volume on your Mac
Controls your external display brightness and volume and shows native OSD. Use menubar extra sliders or the keyboard, including native Apple keys. -
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OpenShot Video Editor
Award-Winning Open Source Video Editing Software
OpenShot Video Editor is a powerful yet very simple and easy-to-use video editor that delivers high quality video editing and animation solutions. OpenShot offers a myriad of features and capabilities, including powerful curve-based Key frame animations, 3D animated titles and effects, slow motion and time effects, audio mixing and editing, and so much more. It’s available for Linux, Mac and Windows, with a very simple and friendly interface. Start creating stunning videos quickly and easily... -
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Qdrant
Vector Database for the next generation of AI applications
Qdrant is a vector similarity engine & vector database. It deploys as an API service providing search for the nearest high-dimensional vectors. With Qdrant, embeddings or neural network encoders can be turned into full-fledged applications for matching, searching, recommending, and much more! Provides the OpenAPI v3 specification to generate a client library in almost any programming language. Alternatively, utilize ready-made client for Python or other programming languages with additional... -
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FreeMDU
Open hardware and software tools for communicating with Miele
FreeMDU is an open-source toolkit that provides both hardware and software solutions for communicating with Miele appliances through their often overlooked optical diagnostic interface, effectively offering an accessible alternative to the proprietary Miele Diagnostic Utility used by service technicians. This project includes reverse-engineered protocol support, a terminal user interface for diagnostics, and firmware that can act as a USB-UART bridge or standalone communication adapter for home automation systems. ... -
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Agent Development Kit (ADK)
Open-source, code-first Python toolkit for building, evaluating, etc.
...This is especially important in high-security applications where verifying that a device is genuine and uncompromised is critical. ADK Python helps developers verify hardware-backed keys, work with JSON Web Tokens (JWT), and integrate with Android’s Key Attestation infrastructure. -
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nwipe
nwipe secure disk eraser
nwipe is a fork of the dwipe command originally used by Darik's Boot and Nuke (DBAN). nwipe was created out of a need to run the DBAN dwipe command outside of DBAN, in order to allow its use with any host distribution, thus giving better hardware support. nwipe is a program that will securely erase the entire contents of disks. It can wipe a single drive or multiple disks simultaneously. It can operate as both a command line tool without a GUI or with a ncurses GUI. -
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ACE-Step 1.5
The most powerful local music generation model
...It integrates cutting-edge generative techniques—such as diffusion-based synthesis combined with compressed autoencoders and lightweight transformer elements—to produce high-quality full-length music tracks with rapid inference times, capable of generating a complete song in seconds on modern GPUs while remaining efficient enough to run on consumer-grade hardware with minimal memory requirements. Beyond straightforward text-to-music synthesis, ACE-Step 1.5 enables flexible creative workflows, including tasks like cover generation, editing existing tracks, transforming vocals to background accompaniment, and stylistic personalization using low-rank adaptation from just a few example songs. -
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Kooha
Elegantly record your screen
Capture your screen in an intuitive and straightforward way without distractions. Kooha is a simple screen recorder with a minimal interface. You can simply click the record button without having to configure a bunch of settings. -
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Synergy Core
The keyboard and mouse sharing tool
This is the open source core component of Synergy, a keyboard and mouse sharing tool. Control your computers with one mouse and keyboard. Control multiple computers using only one keyboard and mouse. Focus on developing software, designing, gaming and remove time switching between operating systems. Throw away the extra keyboards and spend time where it really matters. Simplify your workspace by combining multiple computers into one. Easily copy and paste between computers with no effort at... -
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hashcat
World's fastest and most advanced password recovery utility
hashcat is the world's fastest and most advanced password recovery utility, supporting five unique modes of attack for over 300 highly-optimized hashing algorithms. hashcat currently supports CPUs, GPUs, and other hardware accelerators on Linux, Windows, and macOS, and has facilities to help enable distributed password cracking. Download the latest release and unpack it in the desired location. Please remember to use 7z x when unpacking the archive from the command line to ensure full file paths remain intact. Multi-Device-Types (Utilizing mixed device types in same system). ... -
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LiteRT-LM
LiteRT-LM is Google's production-ready inference framework
LiteRT-LM is Google’s open-source inference framework for deploying large language models on edge devices. It is built for production-oriented local LLM execution across Android, iOS, desktop, web, embedded, and IoT environments. The framework focuses on performance, hardware acceleration, and efficient model serving close to the user instead of relying only on remote cloud inference. It supports CPU execution across major platforms and adds GPU or NPU acceleration where available. LiteRT-LM is especially relevant for developers building private, low-latency AI features on phones, laptops, Raspberry Pi-style devices, and other edge hardware. ... -
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XenosRecomp
A tool for converting Xbox 360 shaders to HLSL
...It works alongside CPU recompilation tools by translating GPU-specific instructions and behaviors into equivalents that can be executed on modern graphics APIs such as DirectX or Vulkan. This allows recompiled games to maintain visual fidelity while benefiting from modern hardware acceleration. The project addresses one of the most complex aspects of console reverse engineering, which is accurately reproducing proprietary GPU behavior in a portable and efficient way. By reconstructing the graphics pipeline, XenosRecomp enables developers to render scenes correctly without relying on emulation layers that can introduce performance overhead or inaccuracies. -
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Microsoft MakeCode
Programming eXperience Toolkit
...The toolkit serves as the foundation for Microsoft MakeCode, a platform used to teach programming through interactive editors that support both block-based and text-based coding. PXT enables developers to build custom programming environments that can run in web browsers or local development setups, making it suitable for educational hardware platforms such as microcontrollers and classroom devices. The system uses a subset of TypeScript as its underlying programming language, simplifying JavaScript syntax while maintaining compatibility with modern development workflows. Through its modular design, developers can create specialized editors and programming experiences tailored to specific devices or learning contexts.
