Search Results for "hardware" - Page 12
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Showing 310 open source projects for "hardware"
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This is an Robot Learning Environment consisting a full robot operating system and a simulator which run the system. It is geared for use to learning robotics concepts in cases where real hardware is not available.
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Applications contributed for URBI (Universal RealTime Behoavior Interface). URBI is a scripted command language used to control robots (AIBO pioneer..) as well as a robot-independant execution and developpement plateform. www.urbiforge.com www.gostai.com
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TagCentric is RFID middleware that controls heterogeneous RFID devices and gathers RFID-related data into a user-specified database. It's cost (free!) and simplicity make it ideal for use by small businesses, RFID testing facilities, and universities.
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NavDrive is a complete hardware and software system for autonomous robots. NavDrive software consists of a framework of runtime configurable components and a mechanism for controlling their instantiation and execution without an operating system.
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Error to trace to log to deploy. One click. No SSH.AppSignal links every error to the trace, the trace to the log, the log to the deploy that shipped it.
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URBI: Universal Robotic Body Interface. URBI is a scripted command language used to control robots (AIBO, pioneer,...). It is a robot-independant API based on a client/server architecture. Liburbi C++/Java/Matlab are available here. Forum available at ht
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LibSeris is a set of common code for controlling the Seris class of inexpensive personal robots, also created by this project.
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Maiden-core is a Linux kernel robotics API module, extensible in Erc. The Maiden Project also documents and develops the Maiden architecture for mobile robots, a set of (optional) designs and standards for robots using the Maiden-core API.
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A solution for Home automation, with HTTP access to manage Tini Board, X10 - I2C - LCD components. You can add your own manager and exchange his services with other. All manager are plug on a kernel (Servlet Java).
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Mantis Robotic project consists of an open-source sets of reusable C/C++ libraries for manipulation of diverse kinds of robots, mostly for educational purposes and hobbies.
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Host LLMs in Production With On-Demand GPUsDeploy your model, get an endpoint, pay only for compute time. No GPU provisioning or infrastructure management required.
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This project aims to provide support (source code, hardware modifications, etc) for Nomadics robots. If you don't have one, go elsewhere!
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Ce projet couvre tous les développements logiciels qu'Unitec, le club de robotique de l'UTBM, va entreprendre pour la coupe de France de robotique E=M6.
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Surviving bots is continuous software application in Java that will guide robots to search for energy source around it, tap it and explore ahead for survival and thus evolve into much more advance system.Software is ment to be hardware independent.
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SimuBot replaces expensive robot hardware and testing facilities. It allows researchers and enthusiasts alike to explore robotics in 3D with realistic physics. Written in Java, it is platform independent. Any language can be used to program the robots.
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Laguna XS.2
Open agentic coding model optimized for local deployment
...The model contains 33B total parameters with only 3B activated per token, allowing it to deliver strong coding performance while remaining efficient enough to run locally on modern consumer hardware. It uses a hybrid attention architecture that combines Sliding Window Attention and global attention layers, reducing memory requirements and improving inference speed. Laguna XS.2 supports native reasoning with interleaved thinking between tool calls, enabling more capable autonomous coding agents and multi-step workflows. The model features a 262K-token context window, preserved reasoning across interactions, FP8 KV-cache optimization, and compatibility with local deployment ecosystems such as Ollama and vLLM. -
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Command A+
4-bit Command A+ model for enterprise agents and multilingual tasks
...The W4A4 release applies 4-bit weight and activation quantization mainly to MoE experts, preserving attention components at full precision to reduce quality loss while improving speed, latency, and hardware efficiency. Cohere recommends W4A4 for most users because it offers a smaller hardware footprint with negligible benchmark differences compared to BF16 and FP8 versions. The model supports a 128K input context and 64K output length, covers 48 languages, and includes conversational tool-use capabilities with JSON-schema tools and optional citation grounding. -
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Mistral Large 3 675B Base 2512
Frontier-scale 675B multimodal base model for custom AI training
...Its architecture includes a powerful language MoE and a 2.5B-parameter vision encoder, enabling multimodal understanding out of the box. Mistral Large 3 Base supports deployment on-premises using FP8 or NVFP4 formats, enabling high-performance workflows on B200, H200, H100, or A100 hardware. -
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SuperGemma4
Fast uncensored Gemma model optimized for local chat and coding
...Unlike raw base models, it inherits improvements from the SuperGemma Fast line, resulting in better performance in logic, coding, and real-world text workflows. The model is packaged in GGUF format for efficient use with llama.cpp and has been specifically tested on Apple Silicon hardware, delivering high token speeds and smooth local inference. A neutral chat template is embedded to prevent prompt misrouting issues, ensuring consistent responses without unintended shifts into coding or tool-use modes. -
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translategemma-4b-it
Lightweight multimodal translation model for 55 languages
...With a compact ~5B parameter footprint and BF16 support, the model is designed to run efficiently on laptops, desktops, and private cloud infrastructure, making advanced translation accessible without heavy hardware requirements. TranslateGemma uses a structured chat template that enforces explicit source and target language codes, ensuring consistent, deterministic behavior and reducing ambiguity in multilingual pipelines. It integrates seamlessly with Hugging Face Transformers through pipelines or direct model initialization, supporting GPU acceleration and scalable deployment. -
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gpt-oss-20b
OpenAI’s compact 20B open model for fast, agentic, and local use
...GPT-OSS-20B is compatible with Transformers, vLLM, Ollama, PyTorch, and other tools. It is ideal for developers building lightweight AI agents or experimenting with fine-tuning on consumer-grade hardware. -
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gpt-oss-120b
OpenAI’s open-weight 120B model optimized for reasoning and tooling
GPT-OSS-120B is a powerful open-weight language model by OpenAI, optimized for high-level reasoning, tool use, and agentic tasks. With 117B total parameters and 5.1B active parameters, it’s designed to fit on a single H100 GPU using native MXFP4 quantization. The model supports fine-tuning, chain-of-thought reasoning, and structured outputs, making it ideal for complex workflows. It operates in OpenAI’s Harmony response format and can be deployed via Transformers, vLLM, Ollama, LM Studio,... -
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uAnts4Home
An advanced home automation system which exchanges only devices states
The micro-Ants are small, cheap, 8-bit devices which may outperform current home automation systems, thanks to their "swarm intelligence". This project aims at developing a micro-Ant hardware and firmware. Join and develop with us this new technology! -
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Rampart
Lightweight on-device model for private AI text redaction
Rampart is a lightweight, on-device privacy protection model developed by the National Design Studio to detect and redact personally identifiable information (PII) before text leaves a user's device. Rather than relying on server-side filtering, Rampart performs token-level PII detection locally, enabling privacy-preserving AI interactions with minimal latency and without exposing sensitive information to external services. The released model is a 14.7 MB ONNX artifact based on a fine-tuned... -
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ZAYA1-8B
Efficient MoE reasoning model for coding and math workloads
ZAYA1-8B is a compact Mixture-of-Experts reasoning model developed by Zyphra, designed to deliver unusually high intelligence density with fewer than 1 billion active parameters. The model contains 8.4B total parameters with around 760M active during inference, allowing it to achieve strong reasoning, mathematics, and coding performance while remaining lightweight enough for efficient local or on-device deployment. ZAYA1-8B is optimized for long-form reasoning and test-time compute...
