Search Results for "hardware" - Page 12
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Showing 2172 open source projects for "hardware"
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Oolite
3D space trading and combat game
...You can travel to different planetary systems, encounter challenges and embark on missions in a quest for wealth and glory. Oolite runs on Mac OS X (10.6 or later), Windows (XP or later), and Linux, and does not require the latest hardware except for certain expansion packs. Powered by Objective-C and OpenGL, it is designed as a small game that users can easily pick up, modify and expand. -
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HammerDB
HammerDB Database Load Testing and Benchmarking Tool
...It implements industry-standard workloads such as TPC-C and TPC-H to simulate real-world transactional and analytical database performance. HammerDB is widely used by DBAs and performance engineers to evaluate hardware, configurations, and scaling. -
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The Arcade Library
Easy to use Python library for creating 2D arcade games
Arcade is an easy-to-use Python library for creating 2D video games. It provides a modern and straightforward API, enabling developers to craft engaging games and graphical applications efficiently. Arcade supports rendering shapes, handling user input, and managing game physics, making it suitable for both beginners and experienced developers. -
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Bolt NLP
Bolt is a deep learning library with high performance
Bolt is a high-performance deep learning inference framework developed by Huawei Noah's Ark Lab. It is designed to optimize and accelerate the deployment of deep learning models across various hardware platforms. Bolt is a light-weight library for deep learning. Bolt, as a universal deployment tool for all kinds of neural networks, aims to automate the deployment pipeline and achieve extreme acceleration. Bolt has been widely deployed and used in many departments of HUAWEI company, such as 2012 Laboratory, CBG and HUAWEI Product Lines. ... -
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Icestudio
Visual editor for open FPGA boards
Visual editor for open FPGA boards. Built on top of the Icestorm project using Apio. -
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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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LaiNES
Compact cycle-accurate NES emulator
LaiNES is a compact, cycle-accurate Nintendo Entertainment System emulator written in C++ that prioritizes precision and minimalism in its implementation. Its design focuses on accurately simulating the NES hardware at the clock-cycle level, ensuring that timing-sensitive behaviors and edge cases are faithfully reproduced. Despite its relatively small codebase, it supports a wide range of cartridge mappers, enabling compatibility with a large portion of NES games. The emulator includes a simple graphical interface that allows users to browse files, configure settings, and manage gameplay without relying on external tools. ... -
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Text Embeddings Inference
High-performance inference server for text embeddings models API layer
Text Embeddings Inference is a high-performance server designed to serve text embedding models efficiently in production environments. It focuses on delivering fast and scalable embedding generation by leveraging optimized inference techniques and modern hardware acceleration. It is built to support transformer-based embedding models, making it suitable for tasks such as semantic search, clustering, and retrieval-augmented systems. It provides an API interface that allows developers to integrate embedding capabilities into applications without managing model internals directly. Text Embeddings Inference is optimized for throughput and low latency, enabling it to handle large volumes of requests reliably. ... -
9
Humanoid-Gym
Reinforcement Learning for Humanoid Robot with Zero-Shot Sim2Real
Humanoid-Gym is a reinforcement learning framework designed to train locomotion and control policies for humanoid robots using high-performance simulation environments. The system is built on top of NVIDIA Isaac Gym, which allows large-scale parallel simulation of robotic environments directly on GPU hardware. Its primary goal is to enable efficient training of humanoid robots in simulation while enabling policies to transfer effectively to real-world hardware without additional training. The framework emphasizes the concept of zero-shot sim-to-real transfer, meaning that behaviors learned in simulation can be deployed directly on physical robots with minimal adjustment. ... -
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GPU Puzzles
Solve puzzles. Learn CUDA
...Instead of presenting traditional lecture-style explanations, the project immerses learners directly in hands-on programming tasks that demonstrate how GPU computation works. The exercises are implemented using Python with the Numba CUDA interface, which allows Python code to compile into GPU kernels that run on CUDA-enabled hardware. By solving progressively more complex puzzles, learners gain a practical understanding of how parallel algorithms operate on graphics processing units. The project emphasizes experimentation and problem solving, encouraging learners to discover GPU programming techniques through trial and exploration. It can be run in cloud environments such as Google Colab, making it easy for beginners to start experimenting without configuring local GPU hardware. -
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llmware
Unified framework for building enterprise RAG pipelines
...The system supports a wide range of inference backends including PyTorch, OpenVINO, ONNX Runtime, and other optimized runtimes, allowing developers to choose the most efficient execution environment for their hardware. -
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ANE Training
Training neural networks on Apple Neural Engine via APIs
...It is primarily intended as a research and educational proof of concept rather than a production library, highlighting what is technically possible with undocumented hardware access. -
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RamaLama
Simplifies the local serving of AI models from any source
RamaLama is an open-source developer tool that simplifies working with and serving AI models locally or in production by leveraging container technologies like Docker, Podman, and OCI registries, allowing AI inference workflows to be treated like standard container deployments. It abstracts away much of the complexity of configuring AI runtimes, dependencies, and hardware optimizations by detecting available GPUs (or falling back to CPU) and automatically pulling a container image pre-configured for the detected hardware environment. Developers can use familiar container commands to pull, run, and interact with AI models from any source, treating models similarly to how container images are handled in OCI workflows. ... -
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MyEtherWallet
MyEtherWallet to interact with the Ethereum blockchain
MEW (MyEtherWallet) is a free, client-side interface helping you interact with the Ethereum blockchain. Our easy-to-use, open-source platform allows you to generate wallets, interact with smart contracts, and so much more. Easily access all you favorite apps across Ethereum and Polkadot chains, buy crypto, swap tokens, and manage your NFTs. Welcome to the multichain future. ETH Blocks is an NFT series representing mined Ethereum blocks and their properties. Whether it's a special block... -
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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. ... -
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ClassicUO
An open source implementation of the Ultima Online Classic Client
ClassicUO is an open-source, modern client for Ultima Online, a beloved MMORPG originally released in the late 1990s. Designed as a drop-in replacement for outdated clients, ClassicUO supports high performance, modding, and quality-of-life improvements while preserving the game's core look and mechanics. It’s built using .NET Core and runs cross-platform, offering smoother input, faster rendering, and extensibility for private servers. The project is community-driven and continues to evolve... -
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Machine Learning Systems
Introduction to Machine Learning Systems
Machine Learning Systems is an open educational repository that serves as the source and learning stack for the Machine Learning Systems textbook, a project focused on teaching how to engineer AI systems that work reliably in real-world environments. Rather than concentrating only on model training, the material emphasizes the broader discipline of AI engineering, covering efficiency, reliability, deployment, and evaluation across the full lifecycle of intelligent systems. The repository... -
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Tower Building Game
HTML5 Canvas Tower Building Game
Tower Building Game is a small game project — likely implementing a classic “tower defense” or “tower-based” game — designed to showcase game-development fundamentals such as rendering, game logic, user interaction, and possibly simple physics or animations. As an open-source repository, tower_game aims not only to deliver a playable game, but also to serve as a learning resource or template: developers can inspect its code, understand how game loops, input handling, asset management, and... -
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Diffusion Bee
Diffusion Bee is the easiest way to run Stable Diffusion locally
...Users can generate images from text prompts, perform image-to-image transformations, and apply additional features like inpainting, outpainting, and model-based upscaling directly within a clean graphical interface. It’s optimized for Apple hardware performance and can automatically manage features like ControlNet, LoRA models, and advanced prompt options without exposing complexity to the user. -
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Qiskit
Qiskit is an open-source SDK for working with quantum computers
Qiskit [kiss-kit] is an open-source SDK for working with quantum computers at the level of pulses, circuits, and application modules. When you are looking to start Qiskit, you have two options. You can start Qiskit locally, which is much more secure and private, or you get started with Jupyter Notebooks hosted in IBM Quantum Lab. Qiskit includes a comprehensive set of quantum gates and a variety of pre-built circuits so users at all levels can use Qiskit for research and application... -
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rtmp-rtsp-stream-client-java
Library to stream in rtmp and rtsp for Android. All code in Java
Library for streaming in RTMP and RTSP. All code in Java. -
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dhewm 3
dhewm 3 main repository
...It’s known to work on Windows, Linux, macOS, FreeBSD, OpenBSD and AROS, but it should work on (or be easily portable to) any system that supports OpenGL 1.4 with ARB shaders, SDL and OpenAL. Compared to the original version of Doom3, dhewm3 has many bugfixes, supports EAX-like sound effects on all operating systems and hardware (via OpenAL Softs EFX support), has much better support for widescreen resolutions and has 64bit support. It only supports old Mods if they either don’t require their own game DLL or have been ported to dhewm3. Note that while the Doom3 source code has been released under GPL, you still need to legally own the game and provide dhewm3 the game data to play. ... -
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Kyoo
A portable and vast media library solution
...It is built around a containerized architecture using Docker, where multiple services handle media indexing, streaming, and configuration. The system allows users to access their content from a browser while maintaining control over storage and playback infrastructure. Kyoo supports hardware acceleration options for efficient video processing, making it suitable for high-resolution streaming environments. Its configuration relies on environment variables and Docker Compose, enabling flexible deployment across different systems. The platform emphasizes modularity, allowing users to customize storage locations, streaming settings, and performance parameters. ... -
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OpenVINO Notebooks
Jupyter notebook tutorials for OpenVINO
...The repository provides practical tutorials that guide developers through various AI workflows including computer vision, natural language processing, and generative AI tasks. Each notebook demonstrates how to run pre-trained models, optimize inference performance, and deploy models across hardware such as CPUs, GPUs, and specialized accelerators. The tutorials also illustrate how OpenVINO integrates with models from frameworks like PyTorch, TensorFlow, and ONNX to accelerate inference workloads. Many notebooks include end-to-end examples that show how to prepare input data, load optimized models, run inference, and visualize results. ... -
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FlexLLMGen
Running large language models on a single GPU
FlexLLMGen is an open-source inference engine designed to run large language models efficiently on limited hardware resources such as a single GPU. The system focuses on high-throughput generation workloads where large batches of text must be processed quickly, such as large-scale data extraction or document analysis tasks. Instead of requiring expensive multi-GPU systems, the framework uses techniques such as memory offloading, compression, and optimized batching to run large models on commodity hardware.
