525-birds-species-classification-using-efficient-net

This repository implements a multi-class classification model for identifying bird species using transfer learning with the EfficientNetB0 architecture.

a-simple-nn-from-scratch-for-thyroid-classification

This repository focuses on implementing a simple neural network from scratch for a three-class Thyroid Classification task on a tabular dataset.

adam-optimization-algorithm-from-scratch

amirmshebly

art-generation-neural-style-transfer

basic-os-algorithms

This repository provides the implementations of simulating some simple OS Algorithms

brain-tumor-detection-mri-vgg16

clrs-algoriothms

This repository contains full implementation of CLRS book in JAVA and Python

designing-algorithms-winter-2024

This repository contains implementations of assignments for the "Designing Algorithms" course at the university of Tabriz in Python, Java, and C++ programming languages. As a teaching assistant,I have carefully crafted these assignments to present real-world scenarios that require algorithmic problem-solving skills.

genetic-algorithm

In this repository, I use genetic algorithm for solving some classical computer science problems.

image-compression-with-kmeans-clustering

I utilized a simple kmeans clustering algorithm in order to perform clustering on a colorful image and compress it into only a 16 color representation

machine-learning-algorithms-from-scratch

In this repository, I implement machine learning algorithms from scratch using python

malaria-detection

In this repository, I implement a Convolutional Neural Network with tensorflow keras and train it on thousands of red blood cell images in order to classify the malaria infected cells

mini-ml-projects-with-sklearn

In this repository, I implement some simple mini machine learning projects using sklearn

online-exchange-rate-annoumcer-telegram-bot

shakespearean-text-generation-lstm

sign-language-digits-recognition

This repository features a Convolutional Neural Network that has been trained on images of sign language digits. The network excels at performing multi-class classification tasks, accurately assigning the correct labels to numbers ranging from 0 to 5.

smile-recognition

I implemented a Convolutional Neural Network and trained it on facial images in order to classify whether the person has a smile on his face or not

tensorflow-keras-mini-projects

In this repository, I implement some basic mini Deep Learning projects with tensorflow keras

u-net-for-image-segmentation

x-o-character-recognition-from-scratch

This project explores pattern recognition using neural networks with a simple dataset of X and O characters arranged in a five by five grid for simplicity. I've implemented various neural network models from scratch starting from basic models to more advanced MLP models for recognizing and classifying the patterns.