ztachip is a RISCV accelerator designed for vision and AI edge applications, offering up to 20-50x acceleration compared to non-accelerated RISCV implementations. It features an innovative tensor processor hardware to accelerate various vision tasks and TensorFlow AI models. ztachip introduces a new tensor programming paradigm for massive processing/data parallelism. The repository includes technical documentation, code structure, build procedures, and reference design examples for running vision/AI applications on FPGA devices. Users can build ztachip as a standalone executable or a micropython port, and run various AI/vision applications like image classification, object detection, edge detection, motion detection, and multi-tasking on supported hardware.

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.

MinIO is a High Performance Object Storage released under GNU Affero General Public License v3.0. It is API compatible with Amazon S3 cloud storage service. Use MinIO to build high performance infrastructure for machine learning, analytics and application data workloads.

A simple way to build AI applications based on Qualcomm® AI Runtime SDK. QAI AppBuilder simplifies the deployment of QNN models by encapsulating model execution APIs into simplified interfaces for loading models onto NPU/HTP and performing inference. It supports both C++ and Python projects, Windows and Linux platforms, Genie (Large Language Model), LLM on CPU & NPU, multimodal LLM, float & native input/output data, multi-graph, LoRA, multiple models, inputs & outputs. It makes app development easier, model testing faster, and provides plenty of sample code.

Nitro is a high-efficiency C++ inference engine for edge computing, powering Jan. It is lightweight and embeddable, ideal for product integration. The binary of nitro after zipped is only ~3mb in size with none to minimal dependencies (if you use a GPU need CUDA for example) make it desirable for any edge/server deployment.

InfiniStore is an open-source high-performance KV store designed to support LLM Inference clusters. It provides high-performance and low-latency KV cache transfer and reuse among inference nodes. In addition to inference clusters, it can be used as a standalone KV store for integration with LLM training or inference services. InfiniStore is currently integrated with vLLM via LMCache and is in progress for integration with SGLang and other inference engines.

XLang™ is a cutting-edge language designed for AI and IoT applications, offering exceptional dynamic and high-performance capabilities. It excels in distributed computing and seamless integration with popular languages like C++, Python, and JavaScript. Notably efficient, running 3 to 5 times faster than Python in AI and deep learning contexts. Features optimized tensor computing architecture for constructing neural networks through tensor expressions. Automates tensor data flow graph generation and compilation for specific targets, enhancing GPU performance by 6 to 10 times in CUDA environments.

Batteries Included is an all-in-one platform for building and running modern applications, simplifying cloud infrastructure complexity. It offers production-ready capabilities through an intuitive interface, focusing on automation, security, and enterprise-grade features. The platform includes databases like PostgreSQL and Redis, AI/ML capabilities with Jupyter notebooks, web services deployment, security features like SSL/TLS management, and monitoring tools like Grafana dashboards. Batteries Included is designed to streamline infrastructure setup and management, allowing users to concentrate on application development without dealing with complex configurations.

eShopSupport is a sample .NET application showcasing common use cases and development practices for building AI solutions in .NET, specifically Generative AI. It demonstrates a customer support application for an e-commerce website using a services-based architecture with .NET Aspire. The application includes support for text classification, sentiment analysis, text summarization, synthetic data generation, and chat bot interactions. It also showcases development practices such as developing solutions locally, evaluating AI responses, leveraging Python projects, and deploying applications to the Cloud.

BlinkID SDK wrapper for React Native provides best-in-class ID scanning software for cross-platform apps built with React Native. It offers complete guidance on installing and linking BlinkID library with iOS and Android apps. The SDK requires a valid license key for scanning, with offline data extraction. It supports React Native v0.71.2 and includes installation and linking instructions for iOS and Android. The repository also contains a script to create a sample React Native project and dependencies. Video tutorials demonstrate using documentVerificationOverlay and CombinedRecognizer for scanning various document types.

OmniSteward is an AI-powered steward system based on large language models that can interact with users through voice or text to help control smart home devices and computer programs. It supports multi-turn dialogue, tool calling for complex tasks, multiple LLM models, voice recognition, smart home control, computer program management, online information retrieval, command line operations, and file management. The system is highly extensible, allowing users to customize and share their own tools.

Sbnb Linux is a minimalist Linux distribution designed for bare-metal servers, offering fast tunnels for remote connections. It supports confidential computing and is ideal for environments from home labs to distributed data centers. The OS runs in memory, is immutable, and features a predictable update cadence. Users can deploy popular AI tools on bare metal using Sbnb Linux in an automated way. The system is resilient to power outages and supports flexible environments with Docker containers. Sbnb Linux is built with Buildroot, ensuring easy maintenance and updates.

FinalRip is a distributed video processing tool based on FFmpeg and VapourSynth. It cuts the original video into multiple clips, processes each clip in parallel, and merges them into the final video. Users can deploy the system in a distributed way, configure settings via environment variables or remote config files, and develop/test scripts in the vs-playground environment. It supports Nvidia GPU, AMD GPU with ROCm support, and provides a dashboard for selecting compatible scripts to process videos.

AnthraxAI is a Vulkan-based game engine that allows users to create and develop 3D games. The engine provides features such as scene selection, camera movement, object manipulation, debugging tools, audio playback, and real-time shader code updates. Users can build and configure the project using CMake and compile shaders using the glslc compiler. The engine supports building on both Linux and Windows platforms, with specific dependencies for each. Visual Studio Code integration is available for building and debugging the project, with instructions provided in the readme for setting up the workspace and required extensions.

pyrfuniverse is a python package used to interact with RFUniverse simulation environment. It is developed with reference to ML-Agents and produce new features. The package allows users to work with RFUniverse for simulation purposes, providing tools and functionalities to interact with the environment and create new features.

LLMOCR is a tool that utilizes a local Large Language Model (LLM) to extract text from images. It offers a user-friendly GUI and supports GPU acceleration for faster inference. The tool is cross-platform, compatible with Windows, macOS ARM, and Linux. Users can prompt the LLM to process images in a customized way. The processing is done locally on the user's machine, ensuring data privacy and security. LLMOCR requires Python 3.8 or higher and KoboldCPP for installation and operation.

AIOsense is an all-in-one sensor that is modular, affordable, and easy to solder. It is designed to be an alternative to commercially available sensors and focuses on upgradeability. AIOsense is cheaper and better than most commercial sensors and supports a variety of sensors and modules, including: - (RGB)-LED - Barometer - Breath VOC equivalent - Buzzer / Beeper - CO² equivalent - Humidity sensor - Light / Illumination sensor - PIR motion sensor - Temperature sensor - mmWave / Radar sensor Upcoming features include full voice assistant support, microphone, and speaker. All supported sensors & modules are listed in the documentation. AIOsense has a low power consumption, with an idle power consumption of 0.45W / 0.09A on a fully equipped board. Without a mmWave sensor, the idle power consumption is around 0.11W / 0.02A. To get started with AIOsense, you can refer to the documentation. If you have any questions, you can open an issue.

Viseron is a self-hosted, local-only NVR and AI computer vision software that provides features such as object detection, motion detection, and face recognition. It allows users to monitor their home, office, or any other place they want to keep an eye on. Getting started with Viseron is easy by spinning up a Docker container and editing the configuration file using the built-in web interface. The software's functionality is enabled by components, which can be explored using the Component Explorer. Contributors are welcome to help with implementing open feature requests, improving documentation, and answering questions in issues or discussions. Users can also sponsor Viseron or make a one-time donation.

ztachip is a RISCV accelerator designed for vision and AI edge applications, offering up to 20-50x acceleration compared to non-accelerated RISCV implementations. It features an innovative tensor processor hardware to accelerate various vision tasks and TensorFlow AI models. ztachip introduces a new tensor programming paradigm for massive processing/data parallelism. The repository includes technical documentation, code structure, build procedures, and reference design examples for running vision/AI applications on FPGA devices. Users can build ztachip as a standalone executable or a micropython port, and run various AI/vision applications like image classification, object detection, edge detection, motion detection, and multi-tasking on supported hardware.

Awesome Pi Agent is a versatile and powerful tool for building intelligent agents on Raspberry Pi. It provides a framework for developing AI-powered applications that can interact with the physical world through sensors and actuators. With a focus on simplicity and extensibility, this tool enables users to create a wide range of smart devices, from home automation systems to robotics projects. The agent can be easily customized and integrated with various AI algorithms and libraries, making it suitable for both beginners and advanced users interested in exploring the intersection of AI and IoT technologies.

Sweep is an AI junior developer that turns bugs and feature requests into code changes. It automatically handles developer experience improvements like adding type hints and improving test coverage.

The Teams AI Library is a software development kit (SDK) that helps developers create bots that can interact with Teams and Microsoft 365 applications. It is built on top of the Bot Framework SDK and simplifies the process of developing bots that interact with Teams' artificial intelligence capabilities. The SDK is available for JavaScript/TypeScript, .NET, and Python.

This guide is dedicated to Large Language Models (LLMs) that you can run on your home computer. It assumes your PC is a lower-end, non-gaming setup.

Supercharge WordPress Content Workflows and Engagement with Artificial Intelligence. Tap into leading cloud-based services like OpenAI, Microsoft Azure AI, Google Gemini and IBM Watson to augment your WordPress-powered websites. Publish content faster while improving SEO performance and increasing audience engagement. ClassifAI integrates Artificial Intelligence and Machine Learning technologies to lighten your workload and eliminate tedious tasks, giving you more time to create original content that matters.

Chatbot UI is an open-source AI chat app that allows users to create and deploy their own AI chatbots. It is easy to use and can be customized to fit any need. Chatbot UI is perfect for businesses, developers, and anyone who wants to create a chatbot.

BricksLLM is a cloud native AI gateway written in Go. Currently, it provides native support for OpenAI, Anthropic, Azure OpenAI and vLLM. BricksLLM aims to provide enterprise level infrastructure that can power any LLM production use cases. Here are some use cases for BricksLLM: * Set LLM usage limits for users on different pricing tiers * Track LLM usage on a per user and per organization basis * Block or redact requests containing PIIs * Improve LLM reliability with failovers, retries and caching * Distribute API keys with rate limits and cost limits for internal development/production use cases * Distribute API keys with rate limits and cost limits for students

uAgents is a Python library developed by Fetch.ai that allows for the creation of autonomous AI agents. These agents can perform various tasks on a schedule or take action on various events. uAgents are easy to create and manage, and they are connected to a fast-growing network of other uAgents. They are also secure, with cryptographically secured messages and wallets.

Griptape is a modular Python framework for building AI-powered applications that securely connect to your enterprise data and APIs. It offers developers the ability to maintain control and flexibility at every step. Griptape's core components include Structures (Agents, Pipelines, and Workflows), Tasks, Tools, Memory (Conversation Memory, Task Memory, and Meta Memory), Drivers (Prompt and Embedding Drivers, Vector Store Drivers, Image Generation Drivers, Image Query Drivers, SQL Drivers, Web Scraper Drivers, and Conversation Memory Drivers), Engines (Query Engines, Extraction Engines, Summary Engines, Image Generation Engines, and Image Query Engines), and additional components (Rulesets, Loaders, Artifacts, Chunkers, and Tokenizers). Griptape enables developers to create AI-powered applications with ease and efficiency.