Starred repositories
A physical Codex usage monitor for M5Stack Dial, powered by ESP32-S3, LVGL, BLE, and a Go daemon.
DIY display for showing current crypto prices
Mejoras visuales, animaciones, fuentes, iconos, optimizacion de codigo, mejor fluidez. funcionalidad sigue igual.
A Zephyr-native implementation of Meshtastic®
Multi-Joint dynamics with Contact. A general purpose physics simulator.
GPULang is an open source GPU centric programming language
Learn it. Build it. Ship it for others.
Course and practical examples for learning ESP32-S3 development, including Wi-Fi, Bluetooth, peripherals, and real-world projects.
A collection of DESIGN.md files analysis by popular brand design systems. Drop one into your project and let coding agents generate a matching UI.
PM Skills Marketplace: 100+ agentic skills, commands, and plugins — from discovery to strategy, execution, launch, and growth.
A Foundational C++ Library for Safety-Critical Software.
A safe, reversible Windows performance optimization skill for Claude Code
Tech Stack: Python, LangChain, LangGraph, PyTorch, Scikit-learn, DeepEval, ChromaDB, Qdrant, PostgreSQL, SQLite, Streamlit, Gradio, Pydantic, Pandas, NumPy, Docling, PyPDF, Joblib, JSON, OpenAI, An…
Interactive study + AI-powered interview practice tool for .NET 8 core AI Engineer interview topics.
Async clarification skill for Claude Code. Opens your editor with a Q&A form when many clarifications are needed; sub-agent validates and merges results back to the main chat.
Used github copilot with Claude 4.5 to create an end to end visual search system.
AndersBNielsen / FalCAN_fw
Forked from candle-usb/candleLight_fwgs_usb compatible firmware for the FalCAN Probe
The FalCAN Probe does USB to CAN, RS-485 and full duplex RS-422
Brushless motor driver board based on a SAMD21 microcontroller and DRV8313 driver
IntelliEdit is an alternative Windows version to the famous Microsoft Notepad!
Audio mixer HW/SW project based on Zynq device and Zybo-Z7 board
A collection of agent skills for CAD, robotics and hardware design
this code shows the train and test of a YOLOV5 convolutional neural network for detection of electronics components