kiananvari/LSTM-price-prediction

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kiananvari/LSTM-price-prediction

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LSTM Price Prediction - Neural Networks

MNRSR-for-wildlife-image

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

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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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Python Implementation of Back Propagation Learning Algorithm in Neural Network

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

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toDoList_ios_application

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MNIST-classification-with-neural-network-compression

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carPlateRecognition_iOS_Application

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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

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PersianSpeechRecognition-RNN-LSTM-GRU

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MNIST-Classification-using-PyTorch

MNIST Classification using PyTorch - PyTorch workshop

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basic-color-constancy-methods

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Snappfood-Sentiment-Analysis-using-BERT-Model

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AllAboutDecisionTree

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

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Robot-Manipulator-Control-Using-Reinforcement-Learning

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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

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LogisticRegressionKit-With-GeneticAlgorithm

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.

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

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