fitrialif,Mohd Fitri Alif Bin Mohd Kasai,github

sgdlibrary

Matlab library for stochastic gradient descent algorithms: Version 1.0.12

A framework for controlling, recording, training, and running a self driving robotic car. Focused now on an implementation that runs on 1/10th scale rc cars with pwm servo steering and ESC throttle controller driven by an 9865 Servo board with a RaspberryPi 3 or Jetson TX2.

shelfcamera

Work-In-Progress

shinobi

:peace_symbol: :palestinian_territories: Shinobi CE - The Free Open Source CCTV platform written in Node.JS (Camera Recorder - Security Surveillance Software - Restreamer

simdjson

Parsing gigabytes of JSON per second

simple-neural-network

Creating a simple neural network in Python with one input layer (3 inputs) and one output neuron.

simple-ocr-opencv

A simple python OCR engine using opencv

skittlebot

A robot using a Raspberry Pi and Camera to knock over targets

sklearn_tutorial

Materials for my scikit-learn tutorial

slycam

SlyCam - Smart Door System with Motion Sensor, Automatic Door Lock & Face Recognition

smart-bell

IoT based face recognition security system

smart-shopping-cart

Implementing a smart shopping cart which uses RFID to scan products as they are put in the cart and shows them on a screen attached to the cart using Raspberry Pi

smart-surveillance-system-using-raspberry-pi

This is my Third Year Project for face recognition using OpenCV

smartcab-using-reinforcement-learning

In this, the self-driving agent uses RL techniques in a simplified world (created using Pygame) to effectively reaching its destinations in the allotted time. It uses Q-Learning algorithm to find the best configuration of learning and exploration factors to ensure that it is reaching its destinations with consistently positive results without causing any traffic violations (like traffic light and oncoming traffic at each intersection).

smartphone-doorlock

Doorlock that can be locked or unlocked through your smartphone

smartshoppingnavigator

Smart Shopping Cart Demonstration applications to show integration of GCP Cloud IoT Core and Machine Leaning Engine

smate--syntheticminorityadversarialtechnique

The novel SMate approach leverages GAN minority-class image generators, which benefit from Transfer Learning from majority-class image generators. Consequently, SMate outperforms SMOTE for imbalanced image data-sets. Research at Stanford University, by: Pablo Rodriguez Bertorello, Liang Ping Koh