smthls00 Goto Github PK

adafruit_bme680

analog-digital-design-of-4-pixel-camera

TFE4152 report, NTNU

android-yolo-v2

Android YOLO real time object detection sample application with Tensorflow mobile.

arduino

This is ArduCAM library for Arduino boards

awesome-mesh

This is a list for mesh networking: Documentation, Free Software mesh protocols, and applications. A mesh network is a network topology in which each node relays data for the network. All mesh nodes cooperate in the distribution of data in the network.

cleandrone

cnn-models

ImageNet pre-trained models with batch normalization for the Caffe framework

eudyptula

www.eudyptula-challenge.org

flutter_clickable_regions

Clickable regions from SVG images in Flutter

flutter_login_signup

Basic login and signup screen designed in flutter

flutter_profileview_demo

A Flutter app to showcase Profile View UI.

kickme

If you are registered, you are involved into the game. Every 24 hours random function choose user and punishment, so other user's need to find him by map (included into app) and "kick" him.

linux

Linux kernel source tree

pifs

The high performance data-free filesystem

prefetcher-based-on-markov-predictors

TDT4260 Prefetcher Project

radiophone

RF chat with android APP

ravilthegame

You need to control my groupmate's head with accelerometer/gyroscope and collect "coins".

smart-helmet

smthls00.github.io

tictactoe_stmpe811

All libraries were downloaded from here : https://stm32f4-discovery.net/2014/05/library-10-stmpe811-touch-screen-driver-for-stm32f429-discovery-board/

touchable

Flutter library to add gestures and animations to each Shape you draw on your canvas in your CustomPainter

v86

x86 virtualization in JavaScript, running in your browser and NodeJS

virtualdoctor

The Disease Prediction system is an end user support and online consultation project. This system allows users to get instant guidance on their health issues through an intelligent health care system online. The system contains data of various symptoms and the disease/illness associated with those symptoms. It also has an option for users of sharing their symptoms and issues. The system processes those symptoms to check for various illnesses that can be associated with it. The system is designed to use intelligent data mining techniques to guess the most accurate illness based on patient’s symptoms. If user’s symptoms do not exactly match any disease in the database, then it is shows the diseases user could probably have based on his/her symptoms. It also consists of doctor address, contacts along with Feedback and administrator dashboard for system operations.

wand-web