This repo contains the python codes of my final thesis "Analysis of leaf species and detection of diseases using image processing and machine learning methods".

This POC is using CNTK 2.1 to train model for multiclass classification of images. Our model is able to recognize specific objects (i.e. toilet, tap, sink, bed, lamp, pillow) connected with picture types we are looking for. It plays a big role in a process which will be used to classify pictures from different hotels and determine whether it's a…

ImageNet Classification with Deep Convolutional Neural Networks

A Canine-Centric Social Media Platform for AI-Powered NFTs and Charitable Giving, Powered by Appwrite

Implementation of AlexNet with Tensorflow

German Traffic Sign Recognition Benchmark (GTSRB) AlexNet pycaffe model. http://benchmark.ini.rub.de/

Various Classical Deep-learning Algorithm coded by Tensorflow and Pytorch framework

Different CNN Models for keyword spotting in speech recognition

Most Cited Deep Learning Papers Implementation

Implementation of our IEEE AVSS 2018 paper "Person Retrieval in Surveillance Video using Height, Color, and Gender".

my first tutorial on educoder

Website for online plant diseases analysis from images with advanced search engine.

Implementation of Alexnet in Keras for CIFAR-10 dataset

AlexNet Research

This Annotation Framework involves in identifying and recognising the objects within the given image using predefined neural network learning algorithms and tools.

A artificial intelligence project which detects the fire and smoke before the accident causing huge loses. The work depicts the techniques like object detection, which are in todays world taking great heights. A proposal to a new method based on a deep learning approach, which uses a convolutional neural network that employs dilated convolutions…

Gebze Technical University Graduation Project I

A MATLAB based model which uses transfer learning to train a deep network that can detect if a roundworm is dead or alive by processing microscoping image.

Machine Learning with MATLAB