Search Results for "hardware" - Page 16
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Showing 2172 open source projects for "hardware"
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gemma.cpp
lightweight, standalone C++ inference engine for Google's Gemma models
Gemma.cpp is a C++ implementation for running inference with Gemma models efficiently on CPUs and GPUs. Developed by Google, it allows running large language models (LLMs) like Gemma with minimal hardware, focusing on optimized performance and low latency. Gemma.cpp is intended for developers seeking to deploy LLMs in production environments without needing massive computational resources. -
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Mctx
Monte Carlo tree search in JAX
mctx is a Monte Carlo Tree Search (MCTS) library developed by Google DeepMind for reinforcement learning research. It enables efficient and flexible implementation of MCTS algorithms, including those used in AlphaZero and MuZero. -
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TensorFlow Lite for Microcontrollers
Infrastructure to enable deployment of ML models
TensorFlow Lite for Microcontrollers is a TensorFlow Lite runtime designed for running machine learning models on tiny embedded devices. It targets microcontrollers, DSPs, and other resource-constrained hardware where memory, compute, and power are limited. The project enables on-device inference without depending on an operating system, standard C or C++ libraries, or dynamic memory allocation. It is useful for applications such as wake-word detection, sensor analysis, gesture recognition, anomaly detection, and small vision or audio models. ... -
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Train LLM From Scratch
A straightforward method for training your LLM
...The repository walks through the process from downloading data to generating text with a trained model. It supports training smaller or larger models, including million- and billion-parameter configurations depending on available hardware. A major goal is accessibility, since the author frames it as possible to train models using a single GPU. It is most useful for learners, researchers, and developers who want practical exposure to LLM internals. -
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Gameboy
Full featured Cross-platform GameBoy emulator by Rust
...The project emphasizes core components such as CPU instruction decoding, memory management, and basic graphics rendering, providing insight into how the original hardware operates. It is often used as a learning tool for understanding low-level system emulation, including timing, interrupts, and cartridge handling. Compared to more advanced emulators, it may lack full feature parity or optimization, but it compensates with readability and conceptual transparency. Its modular structure allows developers to extend or modify individual components for experimentation. -
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Riffusion App
Stable diffusion for real-time music generation (web app)
...The application is built with modern web technologies including Next.js, React, and three.js, providing a responsive and visually engaging interface for experimentation. It relies on a separate inference server to perform model computations, enabling flexible deployment depending on hardware capabilities. Users can input prompts or modify parameters to influence the style, tempo, and characteristics of generated audio, making it useful for creative exploration and prototyping. -
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libwdi
Windows Driver Installer library for USB devices
...It provides a clean API that includes functions to detect driverless USB devices, prepare driver packages, install drivers programmatically, and handle logging and error codes reliably. Projects integrate this library into custom installers, automated provisioning scripts, or hardware management solutions where users need seamless driver setup without manual steps. -
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eduOS-rs
A teaching operating system written in Rust
...It serves as a practical and educational tool that demonstrates key OS concepts like memory management, multitasking, privilege separation, and system call handling in a safe and modern language. Designed to run on x86_64 hardware using QEMU, eduOS-rs leverages Rust’s ownership model and type safety to reduce bugs common in low-level systems development. It is a valuable resource for students and instructors alike, providing clear, structured examples of kernel development. -
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Overload
3D Game engine with editor
A game engine made for Windows, without flourishes. Online documentation and commented sources. Develop complete games with our lua scripting system! Customize Overload editor as you like. Increase your productivity by changing the editor layout. Never feel lost by reading Overload wiki, full of tutorials and a highly documented scripting API! You don't need to watch hours of tutorials on YouTube, Overload is intuitive. Drag & dropping has never been so easy! We made our best to focus on... -
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FoundationDB
Open source, distributed, transactional key-value store
...It has a distributed architecture that gracefully scales out, and handles faults while acting like a single ACID database. FoundationDB provides amazing performance on commodity hardware, allowing you to support very heavy loads at low cost. FoundationDB has been running in production for years and been hardened with lessons learned. Backing FoundationDB up is an unmatched testing system based on a deterministic simulation engine. Developers on an OS for which there is no binary package, or who would like to start hacking on the code, can get started by compiling from source. -
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gpt-oss
gpt-oss-120b and gpt-oss-20b are two open-weight language models
...The series includes two main models: gpt-oss-120b, a 117-billion parameter model optimized for general-purpose, high-reasoning tasks that can run on a single H100 GPU, and gpt-oss-20b, a lighter 21-billion parameter model ideal for low-latency or specialized applications on smaller hardware. Both models use a native MXFP4 quantization for efficient memory use and support OpenAI’s Harmony response format, enabling transparent full chain-of-thought reasoning and advanced tool integrations such as function calling, browsing, and Python code execution. The repository provides multiple reference implementations—including PyTorch, Triton, and Metal—for educational and experimental use, as well as example clients and tools like a terminal chat app and a Responses API server. -
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Owncast
Take control over your live stream video by running it yourself
...Point your existing broadcasting software at your Owncast server and begin streaming. Owncast can work with different storage providers to optionally scale your videos to many viewers using only low-powered hardware. Owncast is for people who are live streamers, or who wants to host live streams for others. It’s a “one to many” broadcast much like Twitch, Facebook Live, YouTube Live, etc. Owncast is not for video conferencing or any use case where multiple people are wanting to see video of each other. -
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Stable Diffusion WebUI Forge
Stable Diffusion WebUI Forge is a platform on top of Stable Diffusion
...It targets heavy users and researchers who push large models, control nets, and high-resolution pipelines where default settings can become bottlenecks. The fork typically introduces toggles for scheduler behavior, attention implementations, caching, and precision modes to reach better speed or quality on given hardware. It also focuses on stability during long sessions, aiming to reduce out-of-memory failures and provide clearer diagnostics when they occur. The UI surfaces advanced options in a way that remains recognizable to WebUI users, so migration costs are low while gaining experimental features. In practice, Forge serves as a proving ground for ideas that may later influence upstream tools, giving power users early access to cutting-edge techniques. -
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libusbmuxd
A client library to multiplex connections from and to iOS devices
...The architecture of the library and dependencies has been designed with an OOP approach in mind. Thus bindings for other programming languages are easier to create and allow an OOP based API. Linux enthusiasts were not amused about great but incompatible hardware like the iPhone 2G. -
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Nano ID
A secure, URL-friendly, unique string ID generator for JavaScript
...This calculator aims to help you realize the extent to which the ID length can be reduced. Instead of using the unsafe Math.random(), Nano ID uses the crypto module in Node.js and the Web Crypto API in browsers. These modules use unpredictable hardware random generator. Uniformity, random % alphabet is a popular mistake to make when coding an ID generator. The distribution will not be even; there will be a lower chance for some symbols to appear compared to others. So, it will reduce the number of tries when brute-forcing. Nano ID uses a better algorithm and is tested for uniformity. -
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Osquery
SQL operating system instrumentation and monitoring framework
...This allows you to write SQL queries to explore operating system data. With osquery, SQL tables represent abstract concepts such as running processes, loaded kernel modules, open network connections, browser plugins, hardware events or file hashes.Osquery queries your devices like a database. Osquery uses basic SQL commands to leverage a relational data-model to describe a device. Frequently, attackers will leave a malicious process running but delete the original binary on disk. This query returns any process whose original binary has been deleted, which could be an indicator of a suspicious process. -
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Folia
Fork of Paper which adds regionized multithreading
...Folia addresses this limitation by dividing the game world into independent regions composed of nearby chunks and assigning each region its own tick loop. These regions run concurrently on multiple threads within a thread pool, allowing server hardware with many CPU cores to process gameplay events in parallel. This architecture significantly increases scalability for large multiplayer environments where players are distributed across different areas of the world. Because the project fundamentally changes how the server processes game logic, many existing plugins are not immediately compatible and must be adapted for the new threading model. -
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shimmy
Python-free Rust inference server
...It supports modern model formats such as GGUF and SafeTensors and can automatically discover models stored locally or in common directories used by other AI tools. Advanced capabilities include CPU offloading for Mixture-of-Experts models and GPU acceleration, enabling large models to run on consumer hardware with limited VRAM. -
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GoCV
Go package for computer vision using OpenCV 4 and beyond
GoCV gives programmers who use the Go programming language access to the OpenCV 4 computer vision library. The GoCV package supports the latest releases of Go and OpenCV v4.5.4 on Linux, macOS, and Windows. Our mission is to make the Go language a “first-class” client compatible with the latest developments in the OpenCV ecosystem. Computer Vision (CV) is the ability of computers to process visual information, and perform tasks normally associated with those performed by humans. CV software... -
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TurboQuant PyTorch
From-scratch PyTorch implementation of Google's TurboQuant
TurboQuant PyTorch is a specialized deep learning optimization framework designed to accelerate neural network inference and training through advanced quantization techniques within the PyTorch ecosystem. The project focuses on reducing the computational and memory footprint of models by converting floating-point representations into lower-precision formats while preserving performance. It provides tools for experimenting with different quantization strategies, enabling developers to balance... -
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YubiKey Guide
Community guide to using YubiKey for GnuPG and SSH
The YubiKey-Guide by drduh is a community-maintained, in-depth tutorial and reference on how to use a YubiKey (hardware authentication token) with GPG, SSH, and related cryptographic setups. It explains how to generate, manage, and use keys, configure pin / touch policies, and integrate the YubiKey into secure workflows. Configuration instructions for requiring touch for operations. Step-by-step instructions for generating GPG keys and migrating them to a YubiKey. -
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Starling Framework
2D GPU-accelerated framework for ActionScript developers
...It mimics the traditional Flash display list while dramatically improving performance, making it a popular choice for Flash developers transitioning into more efficient, hardware-accelerated environments. -
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PaLM + RLHF - Pytorch
Implementation of RLHF (Reinforcement Learning with Human Feedback)
PaLM-rlhf-pytorch is a PyTorch implementation of Pathways Language Model (PaLM) with Reinforcement Learning from Human Feedback (RLHF). It is designed for fine-tuning large-scale language models with human preference alignment, similar to OpenAI’s approach for training models like ChatGPT. -
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Hummingbird
Hummingbird compiles trained ML models into tensor computation
...Hummingbird allows users to seamlessly leverage neural network frameworks (such as PyTorch) to accelerate traditional ML models. Thanks to Hummingbird, users can benefit from (1) all the current and future optimizations implemented in neural network frameworks; (2) native hardware acceleration; (3) having a unique platform to support both traditional and neural network models; and having all of this (4) without having to re-engineer their models. -
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SkyPilot
SkyPilot: Run AI and batch jobs on any infra
SkyPilot is a framework for running AI and batch workloads on any infra, offering unified execution, high cost savings, and high GPU availability. Run AI and batch jobs on any infra (Kubernetes or 12+ clouds). Get unified execution, cost savings, and high GPU availability via a simple interface.
