Search Results for "pi"
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Showing 19 open source projects for "pi"
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Build Agents and Models on One PlatformGemini Enterprise Agent Platform is Google Cloud's comprehensive platform for developers to build, scale, govern, and optimize agents and models. Choose from Google's most advanced models and third-party models like Anthropic's Claude Model Family.
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Omnigent
A meta-harness for all your AI agents
Omnigent is a meta-harness for managing many AI agents through one shared layer. It works with Claude Code, Codex, Cursor, Pi, and custom YAML-defined agents, so users can swap or combine agent runtimes without rebuilding their workflows. Sessions can move across terminal, browser, desktop, and mobile interfaces while keeping messages, files, terminals, and subagents in sync. The platform supports collaboration, shared live sessions, co-driving, conversation forking, and remote access from deployed servers. ... -
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OpenVoiceOS
OpenVoiceOS Core, the FOSS Artificial Intelligence platform
...It continues the spirit of Mycroft by giving developers and enthusiasts a hackable voice assistant foundation. The core package can be installed standalone for custom assistant development or as part of a fuller OVOS system through installer, Raspberry Pi, or embedded Linux workflows. OVOS is powered by skills, including OpenVoiceOS skills and many classic Mycroft-compatible skills. It can also use persona support to route fallback conversations to LLM-backed solvers when normal skills do not answer a request. ovos-core is useful for builders who want a community-driven, extensible voice assistant stack instead of a closed smart-speaker platform. -
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agent-vision-toolkit
A vision toolkit and skill designed for text-only llms
...Its companion skill guides agents through selecting appropriate tools and verifying their results. A local proxy and optional plugins allow pasted images to work transparently with supported coding assistants. Integrations include Codex, Claude Code, Pi, Oh My Pi, and OpenCode. The software enables multimodal workflows without requiring a natively multimodal primary model. -
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Raven
Self-evolving multi-agent ecosystem for all-domain collaboration
...It ships with built-in agents for research, coding, visual design, and supervision of long-running jobs. Raven can also orchestrate third-party agents such as Claude Code, Codex, OpenCode, GitHub Copilot, Pi, and others. Its runtime is powered by EverOS, allowing user context, agent experience, and reusable knowledge to persist across sessions. The system can generate task graphs, delegate work, combine results, and evolve tools, skills, and workflows over time. Raven supports a terminal interface, web UI, plugins, provider routing, and self-hosted deployment. ... -
Paessler: Easy to Use With Enterprise Power. Free TrialYou shouldn't have to choose between a monitoring tool that's easy to use and one that's powerful enough for a complex environment. PRTG's low-code interface lets any admin build dashboards, set alerts and monitor devices without scripting, while custom sensors and full API access are there when your team needs deeper control. One platform, no compromise. Download a free 30-day trial now.
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Hex-Rays IDA MCP
Official Hex-Rays IDA MCP Server
...Multiple clients can share and manipulate analysis state through the underlying IDA Nexus architecture. Supported integrations include Claude Code, Codex CLI, GitHub Copilot CLI, Pi, and generic MCP clients. A dashboard and logging tools provide visibility into agent sessions and troubleshooting data. The project requires modern IDA releases and is intended for legitimate reverse engineering, debugging, and security analysis. -
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NeuTTS Nano
On-device TTS model by Neuphonic
...It is built for natural-sounding voice generation that can run locally instead of relying on a remote web API. The project emphasizes instant voice cloning, real-time performance, and deployment on smaller devices such as phones, laptops, and Raspberry Pi-class hardware. Its LLM-based architecture is intended to bring more expressive and flexible speech generation to local applications. NeuTTS is especially useful for embedded voice agents, private assistants, toys, accessibility tools, and compliance-sensitive apps. Its main value is making modern voice AI more portable, private, and practical for local deployment. -
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NeuTTS Air
NeuTTS model built from small LLM backbones
...It is built for natural-sounding voice generation that can run locally instead of relying on a remote web API. The project emphasizes instant voice cloning, real-time performance, and deployment on smaller devices such as phones, laptops, and Raspberry Pi-class hardware. Its LLM-based architecture is intended to bring more expressive and flexible speech generation to local applications. NeuTTS is especially useful for embedded voice agents, private assistants, toys, accessibility tools, and compliance-sensitive apps. Its main value is making modern voice AI more portable, private, and practical for local deployment. -
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py-xiaozhi
Open-source AI assistant ecosystem with MCP integrations
py-xiaozhi is a free, open-source, Python-based AI assistant framework designed for voice interaction, multimodal processing, and connected device control. It supports real-time voice conversations through asynchronous audio streaming and Opus encoding. Users can interact with AI models through spoken commands, camera input, and visual recognition. Its Model Context Protocol integration provides tools for music playback, screenshots, application management, and device operations. The... -
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KoboldCpp
Run GGUF models easily with a UI or API. One File. Zero Install.
KoboldCpp is an easy-to-use AI text-generation software for GGML and GGUF models, inspired by the original KoboldAI. It's a single self-contained distributable that builds off llama.cpp and adds many additional powerful features. -
Save Up to 91% on Cloud Compute With Spot VMsRun batch jobs at 60-91% off with Spot VMs. Long-running workloads get automatic discounts with sustained use.
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TalkingHeads
A library to communicate with ChatGPT, Claude, Copilot, Gemini
TalkingHeads is a Python library designed to facilitate communication with various AI chat agents, including ChatGPT, Claude, Copilot, Gemini, HuggingChat, and Pi. It provides a unified interface for interacting with these platforms, simplifying the integration of conversational AI capabilities into applications. TalkingHeads supports browser automation and offers tools to manage sessions, handle prompts, and process responses effectively. -
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wukong-robot
Chinese voice dialogue robot/smart speaker project
...It combines wake-word detection, automatic speech recognition, natural language understanding, and text-to-speech into a single framework aimed at the Chinese-speaking ecosystem. The project is positioned as a simple, flexible, and elegant platform that can run on devices like Raspberry Pi and other Linux-based boards, making it suitable for DIY smart speakers and home-automation hubs. It supports multi-turn conversational capabilities powered by ChatGPT or other large language models, letting users have continuous dialogues rather than one-shot commands. The project emphasizes extensibility: there is a plugin ecosystem (wukong-contrib) where developers can add new skills such as controlling smart-home devices, querying services, or performing custom actions. -
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TensorFlow Documentation
TensorFlow documentation
An end-to-end platform for machine learning. TensorFlow makes it easy to create ML models that can run in any environment. Learn how to use the intuitive APIs through interactive code samples. -
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CIPS-3D
3D-aware GANs based on NeRF (arXiv)
...This repository contains the code of the paper, CIPS-3D: A 3D-Aware Generator of GANs Based on Conditionally-Independent Pixel Synthesis. The problem of mirror symmetry refers to the sudden change of the direction of the bangs near the yaw angle of pi/2. We propose to use an auxiliary discriminator to solve this problem. Note that in the initial stage of training, the auxiliary discriminator must dominate the generator more than the main discriminator does. Otherwise, if the main discriminator dominates the generator, the mirror symmetry problem will still occur. In practice, progressive training is able to guarantee this. ... -
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Face Mask Detection
Face Mask Detection system based on computer vision and deep learning
...Our face mask detector doesn't use any morphed masked images dataset and the model is accurate. Owing to the use of MobileNetV2 architecture, it is computationally efficient, thus making it easier to deploy the model to embedded systems (Raspberry Pi, Google Coral, etc.). -
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Mycroft
Mycroft Core, the Mycroft Artificial Intelligence platform
Mycroft is the world’s leading open source voice assistant. It is private by default and completely customizable. Our software runs on many platforms, on desktop, our reference hardware, a Raspberry Pi, or your own custom hardware. Our open-source, modular system can be ported to your device or environment, at any price point. Whether you make voice-assistants, televisions, or microwaves. Whether you have a 5-room BnB or a 1000-room hotel. Your customers will get access to all the necessities of a voice assistant. Our software and essential services are free (as in freedom) and also gratis (at no cost to you or them). ... -
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DeepSpeech
Open source embedded speech-to-text engine
DeepSpeech is an open source embedded (offline, on-device) speech-to-text engine which can run in real time on devices ranging from a Raspberry Pi 4 to high power GPU servers. DeepSpeech is an open-source Speech-To-Text engine, using a model trained by machine learning techniques based on Baidu's Deep Speech research paper. Project DeepSpeech uses Google's TensorFlow to make the implementation easier. A pre-trained English model is available for use and can be downloaded following the instructions in the usage docs. ... -
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BerryNet
Deep learning gateway on Raspberry Pi and other edge devices
This project turns edge devices such as Raspberry Pi into an intelligent gateway with deep learning running on it. No internet connection is required, everything is done locally on the edge device itself. Further, multiple edge devices can create a distributed AIoT network. At DT42, we believe that bringing deep learning to edge devices is the trend towards the future. It not only saves costs of data transmission and storage but also makes devices able to respond according to the events shown in the images or videos without connecting to the cloud. ... -
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Face Recognition
World's simplest facial recognition api for Python & the command line
Face Recognition is the world's simplest face recognition library. It allows you to recognize and manipulate faces from Python or from the command line using dlib's (a C++ toolkit containing machine learning algorithms and tools) state-of-the-art face recognition built with deep learning. Face Recognition is highly accurate and is able to do a number of things. It can find faces in pictures, manipulate facial features in pictures, identify faces in pictures, and do face recognition on a... -
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TensorFlow on Raspberry Pi
TensorFlow for Raspberry Pi
TensorFlow on Raspberry Pi.
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