kiananvari/LogisticRegressionKit-With-GeneticAlgorithm

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kiananvari/LogisticRegressionKit-With-GeneticAlgorithm

kiananvari

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This repository includes implementations of both linear and non-linear logistic regression models, along with the integration of genetic algorithms for enhancing the performance and optimization of logistic regression.

MNRSR-for-wildlife-image

Python implementation of Mixed noise reduction via sparse error constraint representation of a high-frequency image for wildlife image

Handwritten-Equation-Solver-Neural-Network

Implementing a neural network that recognizes handwritten equations on paper and solves them

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Zonya

Front-End Project

Linear-Regression-Pseudo-inverse

Python Implementation of Linear Regression and Pseudo-inverse - Neural Networks

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implementation-of-optimizers-and-regularizations-techniques

implementation of optimizers and regularizations techniques and test the result of them in Fashion MNIST classifier neural network.

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Back-Propagation-in-Neural-Network

Python Implementation of Back Propagation Learning Algorithm in Neural Network

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LSTM-price-prediction

LSTM Price Prediction - Neural Networks

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Marvel-App

Marvel Heros iOS Application - Swift

Auto-associative-Neural-Networks

Training the associative neural network to associate 'A', 'B', 'C' characters - Neural Networks

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The-possibility-of-heart-disease-with-gaussian-naive-bayes-algorithm

Python Implementation of The possibility of heart disease with gaussian naive bayes algorithm

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CNN-rock-paper-scissors-image-classicification

Rock-Paper-Scissors Image Classification Using CNN - Neural Netwroks

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perceptron-learning-rule

Python Implementation of Perceptron learning rule - Neural Networks

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toDoList_ios_application

toDo Application - Swift Language

MNIST-classification-with-neural-network-compression

Deep Neural Network Compression for Image Classification - Neural Networks

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basic_global_thresholding_algorithm

Basic global thresholding algorithm - Image Processing

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MTMS-A-Domain-Adaptive-Meta-Knowledge-Distillation-Model-for-Medical-Image-Classification

This repository contains the official implementation of the paper titled "Multiple Teachers-Meticulous Student: A Domain Adaptive Meta-Knowledge Distillation Model for Medical Image Classification".

carPlateRecognition_iOS_Application

carPlateRecognition - Swift Language

CIFAR10-Denoising-Using-UNET

CIFAR10 Image Denoising Using U-NET

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CIFAR10-Classification-Using-CNN

CIFAR10 Classification Using CNN

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MR-Denoising-with-Wider-Neural-Network

Implementing denoising of MR images with Rician noise using a wider neural network. Based on the paper "Denoising of MR images with Rician noise using a wider neural network and noise range division" by Zhang et al. Includes training, testing, and evaluation of denoising performance.

PersianSpeechRecognition-RNN-LSTM-GRU

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MNIST-Classification-using-PyTorch

MNIST Classification using PyTorch - PyTorch workshop

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HMMEvaluationKit

A comprehensive toolkit for evaluating Hidden Markov Models (HMMs). It provides implementations for calculating the probabilities of observations, making it a valuable resource for those working in fields such as speech recognition, natural language processing, and bioinformatics.

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basic-color-constancy-methods

This repository contains implementations of basic color constancy methods for image processing, including White Patch, Gray World, and Gray Edge. These algorithms aim to correct color casts and improve color balance in images. The code can be used as a starting point for exploring and comparing different color normalization techniques.

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Snappfood-Sentiment-Analysis-using-BERT-Model

Snappfood Sentiment Analysis using BERT Model

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Reinforcement-learning-Robot-Navigation

This repository contains the implementation code and simulated environment for training robots to autonomously navigate and reach a goal while avoiding obstacles. The reinforcement learning algorithm used is Proximal Policy Optimization (PPO).

AllAboutDecisionTree

The All About Decision Trees repository contains Python implementations of the ID3 and CART algorithms for constructing decision trees, along with different impurity measures such as the Gini index and entropy index.

Content-Noise-Complementary-Learning-for-Medical-Image-Denoising

This repository contains an implementation of the "Content-Noise Complementary Learning for Medical Image De-noising"

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Robot-Manipulator-Control-Using-Reinforcement-Learning

This repository contains the implementation of a robot manipulator control system using reinforcement learning techniques. The goal of this project is to train a robot to navigate an environment, detect different targets, and avoid obstacles using reinforcement learning algorithms such as PPO and curriculum learning.

Cooperative-Load-Transportation-With-Two-Quadrotors-Using-Reinforcement-Learning

This project aims to synchronize two carrier quadcopters to move a rod from the origin to the destination. The project utilizes deep curriculum reinforcement learning techniques to train the quadcopters to perform this task in a synchronized manner while maintaining balance.

Image-classification-using-HMMs

This project is a Fashion_MNIST image classification using a hidden Markov model (HMM) in Python. It includes the code for training and evaluating the HMM on the Fashion-MNIST dataset and provides evaluation results such as accuracy, F1-score, and AUC-ROC.

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Medical-Image-Classification-Using-Federated-Learning

This project aims to classify COVID-19 Lung CT scans into two classes, namely COVID and NonCOVID, using federated learning techniques.

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GradCAM-Explainable-AI

This repository contains an implementation of GradCAM (Gradient-weighted Class Activation Mapping) in PyTorch.

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