marwanihab Goto Github PK

atomtest

autoimagecaptioning

Combining CNN and RNN using LSTM cells to build a complex automatic image captionning model.

chateau

Chat Application using java socket programming

countro

A login Register based app using firebase with Facebook and Google sign along with navigation controller and auto layout and progressive bar

facial_keypoints_detection

Creating and training a convultion neural network to detect 68 facial keypoints in order to recognize faces and emotions.

fitfoodappgolang

Web Application using GoLang and MongoDb

huffman_coding

Python implementation of Huffman coding .

humanplusplus

Website using php as backend and foundation and bootstrap frameworks as frontend

imagemanipulation

Create image manipulation techniques e.g. resizing to half , color conversion. And also providing the JPEG compression technique from the first step which is performing the DCT and the Zigzag and RLE(run length encoding) and the inverse for each one, all written in c++.

intersectionpoints

Getting the intersection point of a ray cone or a ray sphere using c++. Using this technique in useful in visuals and animation e.g. obstacles detection in games.

ios-tutorials

Tutorials on iOS development

least-square-classifier

A machine learning model built using least square classifer method that is trained to identify digits from 0 to 9

machinelearningmodel

Binary Classification Model to classify a dataset

maddpg

Code for the MADDPG algorithm from the paper "Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments"

marchingsquares

C++ algorithm to apply the marching square technique and use it to get the contouring of a binary image.

matcho

Matching emojis game implemented for kids using Swift (MVC)

motiongesturescar

An obstacles avoidance car that is controlled using motion gestures using flex sensors.

pythonwebcrawler

A python web crawler created to play the wikipedia game Get to Philosophy using Scrapy

rl_tag_game

Reinforcemenet Learning game of tag with 2 autonomous agents in a 2D environment. The game generation begins with a "tagger" agent whose goal is to tag the other agent, and a second "escaper" agent whose goal is to escape this tagger. The generation ends after either the tagger agent touches the escaper (in which case the tagger wins), or after a fixed number of timesteps elapsed (in which case the escaper wins). The tagger and escaper do not ever swap roles; each agent retains his goal across generations.

rl_testing_noise_asrn

set

A game implemented in swift to simulate "SET" the famous deck of cards game in MVC design pattern.

shorterapi

videoapp

youtube-clone