Popular GitHub Repositories for Led Ring

SAPIEN Manipulation Skill Framework, an open source GPU parallelized robotics simulator and benchmark, led by Hillbot, Inc.

USP: Unified (a.k.a. Hybrid, 2D) Sequence Parallel Attention for Long Context Transformers Model Training and Inference

Implementation of ? Ring Attention, from Liu et al. at Berkeley AI, in Pytorch

Notes for Deep Learning Specialization Courses led by Andrew Ng.

InternEvo is an open-sourced lightweight training framework aims to support model pre-training without the need for extensive dependencies.

A Python-based computer vision and AI system for skin disease recognition and diagnosis. Led end-to-end project pipeline, including data gathering, preprocessing, and training models. Utilized Keras, TensorFlow, OpenCV, and other libraries for image processing and CNN models, showcasing expertise in deep learning and machine learning techniques.

Programming Without Coding Technology - Second Generation, written in the Ring programming language!

The TinyML "Hello World" sine wave model on Arduino Uno v3

Reinforcement Learning for Elden Ring on Windows11

ADAS Car - with Collision Avoidance System (CAS) - on Indian Roads using LIDAR-Camera Low-Level Sensor Fusion. DIY Gadget built with Raspberry Pi, RP LIDAR A1, Pi Cam V2, LED SHIM, NCS 2 and accessories like speaker, power bank etc

Generative Deep Learning Sessions led by Anugraha Sinha (Machine Learning Tokyo)

A Toolkit to Benchmark Methods for Ring-Based Cardiovascular Metrics

Real-time multithreaded webcam capture in modern C++20 & OpenCV; 70 FPS with lock-free ring buffer

Platform-IO (V1) – An AI-enhanced, collaborative development platform by DevSync. Built with React (front-end), Laravel/PHP (back-end), Python, Gemini AI, SQLite, and an FTP-based shared file system. Created for the Salam Hackathon (13–20 Ramadan 1446), led by Adham Haitham.

Live Speech to Text using Microsoft Azure Cognitive Services and Ably MQTT

Implements an entire machine learning pipeline to train and evaluate a Random Forest Classifier on labeled gait data for walking. Data generated during the experiment has led to helpful insights in to the problem domain.

A Model Context Protocol (MCP) server implementation for ESP32-CAM that enables integration with a Large Language Model (LLM). The LLM connects using this library to the ESP32-CAM offering remote camera control, LED management, and system monitoring through standardized MCP tools offering AI capabilities.

An ESP32 running joystick gesture recognition (Tensorflow Lite for Microcontrollers) inside a Nintendo Wii nunchuk controller.

Ring network model test to demonstrate the use of CoreNEURON

Conversational AI, local, low-latency voice assistant for Raspberry Pi 5 with LED, gesture control, and streaming LLM replies.