Search Results for "hardware" - Page 19
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Showing 4061 open source projects for "hardware"
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Honggfuzz
Security oriented software fuzzer
...It supports multiple fuzzing modes—stdin, file, and networking—so targets can be exercised the same way they run in production. Instrumentation via compiler hooks or hardware/perf counters guides mutations toward previously unseen edges, while persistent mode keeps the target process alive to amortize startup costs. The tool integrates tightly with sanitizers and can attach to already running processes, making it convenient for both white-box and black-box fuzzing. When it finds a crash, honggfuzz captures detailed context, minimizes the input, and can pin reproducibility by controlling CPU affinity and resource limits. ... -
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Apache HBase
Get random, realtime read/write access to your Big Data
Use Apache HBase™ when you need random, realtime read/write access to your Big Data. This project's goal is the hosting of very large tables, billions of rows X millions of columns, atop clusters of commodity hardware. Apache HBase is an open-source, distributed, versioned, non-relational database modeled after Google's Bigtable. A Distributed Storage System for Structured Data by Chang et al. Just as Bigtable leverages the distributed data storage provided by the Google File System, Apache HBase provides Bigtable-like capabilities on top of Hadoop and HDFS. ... -
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Centrifugo
Scalable real-time messaging server in a language-agnostic way
...Centrifugo is built in Go language with some smart optimizations inside. It has good performance – see a description of a test stand with one million WebSocket connections and 30 million delivered messages per minute with hardware comparable to one modern server machine. Many built-in features can help to build an attractive real-time application in a limited time. Centrifugo provides different types of subscriptions, hot channel history, instant presence, RPC calls. There is also the possibility to proxy WebSocket events to the application backend over HTTP or GRPC and more. -
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Real-Time Voice Cloning
Clone a voice in 5 seconds to generate arbitrary speech in real-time
Real-Time Voice Cloning is an influential deep-learning repository that demonstrates how to clone a voice from just a few seconds of audio and then generate arbitrary speech in that voice in near real time. It implements the SV2TTS pipeline (“Transfer Learning from Speaker Verification to Multispeaker Text-To-Speech Synthesis”) in three stages: a speaker encoder, a synthesizer, and a vocoder. In the first stage, short audio clips are converted into a fixed-dimensional speaker embedding that... -
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OGRE
scene-oriented, flexible 3D engine (C++, Python, C#, Java)
OGRE (Object-Oriented Graphics Rendering Engine) is a scene-oriented, flexible 3D engine written in C++ designed to make it easier and more intuitive for developers to produce games and demos utilizing 3D hardware. The class library abstracts all the details of using the underlying system libraries like Direct3D and OpenGL and provides an interface based on world objects and other intuitive classes. We consider the results of our GL3Plus RenderSystem as the gold standard. The respective shaders are generated by the RTSS component with per-pixel specular lighting. ... -
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Core AI Models
Model export recipes, Python primitives, and Swift runtime utilities
...The repository also contains agent skills that guide coding assistants through Core AI workflows, model authoring, and compression exploration. It is useful for developers who want a curated path from model preparation to local app integration on Apple hardware. -
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xiaogpt
Play ChatGPT and other LLM with Xiaomi AI Speaker
...The tool is aimed at hobbyists and technical users who want to extend smart speakers with more flexible AI behavior. It is especially useful for experimenting with voice-controlled assistants, home automation ideas, and custom LLM interactions through existing Xiaomi hardware. -
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LLM From Scratch
Build and train a GPT-style language model
...Instead of relying on high-level abstractions or prebuilt frameworks, the project walks users through implementing every core component manually, including tokenization, transformer architecture, training loops, and autoregressive text generation. The repository is intentionally simplified to focus on conceptual clarity, using a compact model of roughly 10 million parameters that can train on consumer hardware such as laptops within a relatively short time. Inspired by Andrej Karpathy’s nanoGPT, the project emphasizes learning through direct implementation and experimentation rather than black-box usage. The workshop documentation explains concepts such as self-attention, embeddings, gradient clipping, optimizer scheduling, and decoding strategies in a practical and approachable way. -
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FastFlix
FastFlix is a free GUI for H.264, HEVC and AV1 hardware and software
FastFlix is a graphical user interface for AV1 video encoding that simplifies the process of converting video files into the modern AV1 format. It acts as a frontend for encoding tools such as SVT-AV1 and AOM, allowing users to configure advanced encoding parameters without using the command line. The application focuses on balancing quality and encoding speed, offering presets and tuning options for different use cases. It supports batch encoding, enabling users to process multiple files... -
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AERIS-10
Open-source, low-cost 10.5 GHz PLFM phased array RADAR system
...It is designed to support research or educational use in radar engineering, particularly in understanding how modulated pulses interact with targets and noise. The repository structure suggests an emphasis on simulation rather than hardware integration, allowing users to test radar concepts in a controlled software environment. It likely includes tools for waveform synthesis, matched filtering, and spectral analysis, which are critical for interpreting radar returns. -
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NVTX (NVIDIA Tools Extension Library)
C-based Application Programming Interface (API)
...These annotations are visualized in tools such as NVIDIA Nsight Systems and Nsight Compute, enabling developers to identify performance bottlenecks, track execution flow, and correlate application behavior with hardware activity. The API is written in C and includes wrappers for C++ and Python, making it accessible across different programming environments and workloads. NVTX is particularly valuable in high-performance computing and AI workloads where understanding concurrency, memory usage, and kernel execution is critical for optimization. -
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mosaicml composer
Supercharge Your Model Training
composer is a deep learning training framework built on PyTorch and designed to make large-scale model training more efficient, scalable, and customizable. At the center of the project is a highly optimized Trainer abstraction that simplifies the management of training loops, parallelization, metrics, logging, and data loading. The framework is intended for modern workloads that may span anything from a single GPU to very large distributed training environments, which makes it suitable for... -
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OpenPlanter
Language-model investigation agent with a terminal UI
...The system is structured to support experimentation and customization, making it suitable for both research and DIY agriculture projects. With its modular Python codebase, users can adapt the platform for different plant types, hardware setups, or automation strategies. Overall, OpenPlanter aims to simplify the creation of programmable, data-driven plant care systems. -
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stt
Voice Recognition to Text Tool
...The project is designed to be easy to deploy: you can run a local Python server that exposes an HTTP API for uploading audio/video files and retrieving transcriptions in different formats. It supports GPU acceleration if available, enabling faster processing on compatible hardware but still offers reliable performance on CPUs alone. -
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SimpleLLM
950 line, minimal, extensible LLM inference engine built from scratch
...Designed to run efficiently on high-end GPUs like NVIDIA H100 with support for models such as OpenAI/gpt-oss-120b, Simple-LLM implements continuous batching and event-driven inference loops to maximize hardware utilization and throughput. Its straightforward code structure allows anyone experimenting with custom kernels, new batching strategies, or inference optimizations to trace execution from input to output with minimal cognitive overhead. -
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Generative AI Examples
Generative AI Examples is a collection of GenAI examples
Efficiently integrate secure, performant, and cost-effective Generative AI workflows into business value. Detailed framework of composable building blocks for state-of-the-art generative AI systems including LLMs, data stores, and prompt engines. Architectural blueprints of retrieval-augmented generative AI component stack structure and end-to-end workflows. A four-step assessment for grading generative AI systems around performance, features, trustworthiness and enterprise-grade readiness. -
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PEFT
State-of-the-art Parameter-Efficient Fine-Tuning
Parameter-Efficient Fine-Tuning (PEFT) methods enable efficient adaptation of pre-trained language models (PLMs) to various downstream applications without fine-tuning all the model's parameters. Fine-tuning large-scale PLMs is often prohibitively costly. In this regard, PEFT methods only fine-tune a small number of (extra) model parameters, thereby greatly decreasing the computational and storage costs. Recent State-of-the-Art PEFT techniques achieve performance comparable to that of full... -
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Mobly
E2E test framework for tests with complex environment requirements
Mobly is a Python-based test framework that specializes in supporting test cases that require multiple devices, complex environments, or custom hardware setups. P2P data transfer between two devices. Conference calls across three phones. Wearable device interacting with a phone. Internet-Of-Things devices interacting with each other. Testing RF characteristics of devices with special equipment. Testing LTE network by controlling phones, base stations, and eNBs. Mobly can support many different types of devices and equipment, and it's easy to plug your own device or custom equipment/service into Mobly. ... -
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Graph Node
Graph Node indexes data from blockchains such as Ethereum
...This data can be transformed, organized, and shared across applications for anyone to query with just a few keystrokes. Before The Graph, teams had to develop and operate proprietary indexing servers. This required significant engineering and hardware resources and broke the important security properties required for decentralization. All data is stored and processed on open networks with verifiable integrity. The Graph makes querying this data fast, reliable, and secure. Entrepreneurs are creating next level apps to scale human coordination on the internet. It's a new frontier and we're just getting started. -
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LMS plugins
Various plugins for Logitech Media Server
LMS is an open source multi-room audio system. It was created by SlimDevices and then acquired by Logitech. Although Logitech has ended development of hardware devices, the project is still very active with lots of plugin released regularly. New hardware players can be added using PI devices and DAC board to build high-quality multi-room. I've created some extra plugins, especially to include new standard hardware/players to the LMS ecosystem: UPnP/DLNA (Sonos), ChromeCast and AirPlay. -
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WebAssembly Micro Runtime
WebAssembly Micro Runtime (WAMR)
WebAssembly Micro Runtime (WAMR) is a lightweight, standalone runtime designed to execute WebAssembly modules efficiently across a wide range of environments, from embedded systems and IoT devices to cloud-native applications. Developed under the Bytecode Alliance, WAMR emphasizes a small memory footprint and high configurability, enabling it to operate effectively even in constrained hardware environments. The runtime supports multiple execution modes, including interpreter, Ahead-of-Time (AOT) compilation, and Just-in-Time (JIT) compilation, allowing developers to balance performance and portability depending on their needs. WAMR also provides near-native execution speed through its optimized compilation strategies, making it suitable for performance-critical applications. ... -
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openclaw-kapso-whatsapp
Give your OpenClaw AI agent a WhatsApp number
...Projects like this make it possible for OpenClaw users to automate tasks, interact with personal contacts, or provide AI-driven services without building a custom bot infrastructure from scratch. Because OpenClaw itself runs on the user’s own hardware and can access external services, this WhatsApp extension serves as a bridge between the AI agent and daily messaging workflows. -
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OpenFL
Open source library for creative expression on the web, desktop, etc.
OpenFL is a free and open-source, cross-platform software framework that empowers developers to create rich interactive applications and games using a single codebase that can run on web browsers, mobile devices, desktops, and even some consoles. It builds on the Haxe programming language and offers a familiar display list and event-driven API inspired by classic Adobe Flash and AIR, allowing developers to leverage well-known paradigms while targeting modern platforms. OpenFL supports 2D and... -
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MegaTTS 3
Official PyTorch Implementation
MegaTTS3 is an open-source text-to-speech (TTS) and voice-cloning system from ByteDance that aims to deliver high-quality, expressive speech synthesis, including zero-shot voice cloning of previously unseen speakers. Its backbone is a lightweight diffusion-transformer (on the order of ~0.45 B parameters), which enables efficient inference while still producing high-fidelity audio. Given a reference audio sample (and corresponding latent representation), MegaTTS3 can generate speech in the... -
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CosyVoice
Multi-lingual large voice generation model, providing inference
CosyVoice is a multilingual large voice generation model that offers a full-stack solution for training, inference, and deployment of high-quality TTS systems. The model supports multiple languages, including Chinese, English, Japanese, Korean, and a range of Chinese dialects such as Cantonese, Sichuanese, Shanghainese, Tianjinese, and Wuhanese. It is designed for zero-shot voice cloning and cross-lingual or mix-lingual scenarios, so a single reference voice can be used to synthesize speech...
