Official code base for ‘Lite-Mind : Towards Efficient and Robust Brain Representation Learning’

A fast, lightweight local AI assistant that runs fully on your PC (on a Docker Stack). Write, analyze, summarize, code, and brainstorm with zero data leakage powered by local LLMs and a clean, efficient interface.

A BCI application to float a cuboid with brain waves using Neuro PlayGround Lite.

A Flutter-based AI tool for early brain tumor detection. Using TensorFlow and TensorFlow Lite.

An application to generate bubbles with the power of you brain using Neuro PlayGround Lite.

This repository contains the code and resources for implementing Lite-FBCN, a lightweight fast bilinear CNN model designed to deliver high performance in classifying brain MR images with minimal computational load. Ideal for real-time applications and deployment in resource-constrained clinical environments.

BrainScan Lite is a web-based machine learning application that predicts a user's Myers-Briggs Type Indicator (MBTI) personality type based on their responses to a short quiz.

No description available

No description available

Compile-time parsers for esoteric languages

No description available

This application is designed to detect tumors in the human brain using a TensorFlow Lite model. The model is trained to identify and classify brain tumors with high accuracy, leveraging the capabilities of TensorFlow Lite for efficient on-device inference.

An advanced web application for brain tumor detection using TensorFlow Lite and Streamlit. This application provides a user-friendly interface for analyzing MRI scans and detecting different types of brain tumors.

Tensorflow Lite Mirco Project : Brain Computer Interface on a microcontroller (e.g. STM32F746NG-Disco, Arduino Nano BLE Sense, Sparkfun Edge ...). Used Model is the EEGNET-Model

A Flutter-based mobile application that uses AI to classify brain tumor types from MRI images using TensorFlow Lite. The app features a modern, animated interface with robust error handling and can detect four types of conditions: Glioma, Meningioma, Pituitary Tumor, and No Tumor.

Recall Lite is a smart “second brain” web app that lets you save any link, extract its content, and chat with it later. Just paste a URL → the app reads the page, stores the knowledge, and lets you ask questions that are answered only from your saved content, with proper citations.

🧠 Advanced Machine Learning Framework in Python, Rust & Go - A comprehensive ML library with scikit-learn-like API supporting classical ML and deep learning across three languages

No description available

BrainlinkLiteWebsite

No description available

No description available

No description available

TCC Sovereignty Lite — 7-Brain AI Dashboard

Lightweight variant of BrainArt for prototyping features

No description available

qqt

No description available

This is a smart room monitoring system developed based on the Flask framework and OpenCV technology, using the Raspberry Pi as a server to deploy the project.

No description available

No description available