Awesome-Embedded is a curated list of resources for embedded systems enthusiasts. It covers a wide range of topics including MCU programming, RTOS, Linux kernel development, assembly programming, machine learning & AI on MCU, utilities, tips & tricks, and more. The repository provides valuable information, tutorials, and tools for individuals interested in embedded systems development.

This repository hosts a collection of AI blueprint projects for HP AI Studio, providing end-to-end solutions across key AI domains like data science, machine learning, deep learning, and generative AI. The projects are designed to be plug-and-play, utilizing open-source and hosted models to offer ready-to-use solutions. The repository structure includes projects related to classical machine learning, deep learning applications, generative AI, NGC integration, and troubleshooting guidelines for common issues. Each project is accompanied by detailed descriptions and use cases, showcasing the versatility and applicability of AI technologies in various domains.

Positronic is an end-to-end toolkit for building ML-driven robotics systems, aiming to simplify data collection, messy data handling, and complex deployment in the field of robotics. It provides a Python-native stack for real-life ML robotics, covering hardware integration, dataset curation, policy training, deployment, and monitoring. The toolkit is designed to make professional-grade ML robotics approachable, without the need for ROS. Positronic offers solutions for data ops, hardware drivers, unified inference API, and iteration workflows, enabling teams to focus on developing manipulation systems for robots.

The UltraRAG framework is a researcher and developer-friendly RAG system solution that simplifies the process from data construction to model fine-tuning in domain adaptation. It introduces an automated knowledge adaptation technology system, supporting no-code programming, one-click synthesis and fine-tuning, multidimensional evaluation, and research-friendly exploration work integration. The architecture consists of Frontend, Service, and Backend components, offering flexibility in customization and optimization. Performance evaluation in the legal field shows improved results compared to VanillaRAG, with specific metrics provided. The repository is licensed under Apache-2.0 and encourages citation for support.

Aspire AI Chat is a full-stack chat sample that combines modern technologies to deliver a ChatGPT-like experience. The backend API is built with ASP.NET Core and interacts with an LLM using Microsoft.Extensions.AI. It uses Entity Framework Core with CosmosDB for flexible, cloud-based NoSQL storage. The AI capabilities include using Ollama for local inference and switching to Azure OpenAI in production. The frontend UI is built with React, offering a modern and interactive chat experience.

Pyloid is a Python backend version of Electron and Tauri, simplifying desktop application development. Built on QtWebEngine and PySide6, it offers seamless integration with Python features, enabling easy creation of powerful applications. It provides web-based GUI generation, system tray icon support, multi-window management, bridge API between Python and JavaScript, single/multi-instance application support, comprehensive desktop app features, clean code structure, live UI development experience, cross-platform support, integration with frontend libraries, window customization, direct utilization of PySide6 features, and detailed Numpy-style docstrings.

Sail is a tool designed to unify stream processing, batch processing, and compute-intensive workloads, serving as a drop-in replacement for Spark SQL and the Spark DataFrame API in single-process settings. It aims to streamline data processing tasks and facilitate AI workloads.

Gemini Android is a repository showcasing Google's Generative AI on Android using Stream Chat SDK for Compose. It demonstrates the Gemini API for Android, implements UI elements with Jetpack Compose, utilizes Android architecture components like Hilt and AppStartup, performs background tasks with Kotlin Coroutines, and integrates chat systems with Stream Chat Compose SDK for real-time event handling. The project also provides technical content, instructions on building the project, tech stack details, architecture overview, modularization strategies, and a contribution guideline. It follows Google's official architecture guidance and offers a real-world example of app architecture implementation.

Code Atlas is a lightweight interpreter developed in C++ that supports the execution of multi-language code snippets and partial Markdown rendering. It consumes significantly lower resources compared to similar tools, making it suitable for resource-limited devices. It leverages llama.cpp for local large-model inference and supports cloud-based large-model APIs. The tool provides features for code execution, Markdown rendering, local AI inference, and resource efficiency.

OpenMind's OM1 is a modular AI runtime empowering developers to create and deploy multimodal AI agents across digital environments and physical robots. OM1 agents process diverse inputs like web data, social media, camera feeds, and LIDAR, enabling actions including motion, autonomous navigation, and natural conversations. The goal is to create highly capable human-focused robots that are easy to upgrade and reconfigure for different physical form factors. OM1 features a modular architecture, supports new hardware via plugins, offers web-based debugging display, and pre-configured endpoints for various services.

FunGen is a Python-based tool that uses AI to generate Funscript files from VR and 2D POV videos. It enables fully automated funscript creation for individual scenes or entire folders of videos. The tool includes features like automatic system scaling support, quick installation guides for Windows, Linux, and macOS, manual installation instructions, NVIDIA GPU setup, AMD GPU acceleration, YOLO model download, GUI settings, GitHub token setup, command-line usage, modular systems for funscript filtering and motion tracking, performance and parallel processing tips, and more. The project is still in early development stages and is not intended for commercial use.

SiLLM is a toolkit that simplifies the process of training and running Large Language Models (LLMs) on Apple Silicon by leveraging the MLX framework. It provides features such as LLM loading, LoRA training, DPO training, a web app for a seamless chat experience, an API server with OpenAI compatible chat endpoints, and command-line interface (CLI) scripts for chat, server, LoRA fine-tuning, DPO fine-tuning, conversion, and quantization.

Agent Zero is a personal, organic agentic framework designed to be dynamic, transparent, customizable, and interactive. It uses the computer as a tool to accomplish tasks, with features like general-purpose assistant, computer as a tool, multi-agent cooperation, customizable and extensible framework, and communication skills. The tool is fully Dockerized, with Speech-to-Text and TTS capabilities, and offers real-world use cases like financial analysis, Excel automation, API integration, server monitoring, and project isolation. Agent Zero can be dangerous if not used properly and is prompt-based, guided by the prompts folder. The tool is extensively documented and has a changelog highlighting various updates and improvements.

ExLlamaV3 is an inference library for running local LLMs on modern consumer GPUs. It features a new EXL3 quantization format based on QTIP, flexible tensor-parallel and expert-parallel inference, OpenAI-compatible server via TabbyAPI, continuous dynamic batching, HF Transformers plugin, speculative decoding, multimodal support, and more. The library supports various architectures and aims to simplify and optimize the quantization process for large models, offering efficient conversion with reduced GPU-hours and cost. It provides a streamlined variant of QTIP, enabling fast and memory-bound latency for inference on GPUs.

The Oracle AI Optimizer and Toolkit provides a streamlined environment for developers and data scientists to explore Generative Artificial Intelligence (GenAI) and Retrieval-Augmented Generation (RAG) capabilities. It integrates Oracle Database 23ai AI VectorSearch and SelectAI to enhance Large Language Models (LLMs) through RAG.

AskUI Vision Agent is a powerful automation framework that enables you and AI agents to control your desktop, mobile, and HMI devices and automate tasks. It supports multiple AI models, multi-platform compatibility, and enterprise-ready features. The tool provides support for Windows, Linux, MacOS, Android, and iOS device automation, single-step UI automation commands, in-background automation on Windows machines, flexible model use, and secure deployment of agents in enterprise environments.

Awesome-Embedded is a curated list of resources for embedded systems enthusiasts. It covers a wide range of topics including MCU programming, RTOS, Linux kernel development, assembly programming, machine learning & AI on MCU, utilities, tips & tricks, and more. The repository provides valuable information, tutorials, and tools for individuals interested in embedded systems development.

AireLibre is a community response to the need for freely, collaboratively, and decentralized air quality information. It includes projects like Red Descentralizada de Aire Libre (ReDAL), Linka, Linka Firmware, LinkaBot, AQmap, and Android/iOS apps. Users can join the network with a sensor communicating with Linka. Materials and tools are needed to build a sensor. The initiative is decentralized and open for community collaboration. Users can extend or add projects to AireLibre. The license allows for creating personal networks. AireLibre is not for professional/industrial/scientific/military use, and the sensors are not calibrated in Switzerland.

Aixt is a programming framework for microcontrollers using a modern language syntax based on V, with components including the Aixt programming language, Aixt to C Transpiler, and Aixt API. It is designed to be modular, allowing easy incorporation of new devices and boards through a TOML configuration file. The Aixt to C Transpiler translates Aixt source code to C for specific microcontroller compilers. The Aixt language implements a subset of V with differences in variables, strings, arrays, default integers size, structs, functions, and preprocessor commands. The Aixt API provides functions for digital I/O, analog inputs, PWM outputs, and serial ports.

Awesome-Embedded is a curated list of resources for embedded systems enthusiasts. It covers a wide range of topics including MCU programming, RTOS, Linux kernel development, assembly programming, machine learning & AI on MCU, utilities, tips & tricks, and more. The repository provides valuable information, tutorials, and tools for individuals interested in embedded systems development.

The Frame Firmware & RTL Codebase is a comprehensive repository containing code for the Frame hardware system architecture. It includes sections for nRF52 Application, nRF52 Bootloader, and FPGA RTL. The nRF52 handles system operation, Lua scripting, Bluetooth networking, AI tasks, and power management, while the FPGA accelerates graphics and camera processing. The repository provides instructions for firmware development, debugging in VSCode, and FPGA development using tools like ARM GCC Toolchain, nRF Command Line Tools, Yosys, Project Oxide, and nextpnr. Users can build and flash projects for nRF52840 DK, modify FPGA RTL, and access pre-built accelerators bundled in the repo.

AIOC is an All-in-one-Cable for Ham Radio enthusiasts, providing a cheap and hackable digital mode USB interface with features like sound-card, virtual tty, and CM108 compatible HID endpoint. It supports various software and tested radios for functions like programming, APRS, and Dual-PTT HTs. Users can fabricate and assemble the AIOC using specific instructions, and program it using STM32CubeIDE. The tool can be used for tasks like programming radios, asserting PTT, and accessing audio data channels. Future work includes configurable AIOC settings, virtual-PTT, and virtual-COS features.

Aixt is a programming framework for microcontrollers using a modern language syntax based on V, with components including the Aixt programming language, Aixt to C Transpiler, and Aixt API. It is designed to be modular, allowing easy incorporation of new devices and boards through a TOML configuration file. The Aixt to C Transpiler translates Aixt source code to C for specific microcontroller compilers. The Aixt language implements a subset of V with differences in variables, strings, arrays, default integers size, structs, functions, and preprocessor commands. The Aixt API provides functions for digital I/O, analog inputs, PWM outputs, and serial ports.

The xiaozhi-esp32 repository is the first hardware project by Xia Ge, focusing on creating an AI chatbot using ESP32, SenseVoice, and Qwen72B. The project aims to help beginners in AI hardware development understand how to apply language models to hardware devices. It supports various functionalities such as Wi-Fi configuration, offline voice wake-up, multilingual speech recognition, voiceprint recognition, TTS using large models, and more. The project encourages participation for learning and improvement, providing resources for hardware and firmware development.