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Name: Mohammad Reza Babaei Mosleh

Type: User

Company: Amirkabir University of technology

Bio: ECE at Amirkabir university of technology interested in ML, DL, Image Processing, and Bio-medical research.

Mohammad Reza Babaei Mosleh's Projects

anonymous_connect_bot

this is a bot to connect two random strangers

dld_data_auto-update

a code for using Dubai Land Department (DLD) and automatically update it

dld_unit_info_est-ext

the code for extracting information about a Unit in DLD dataset and also estimation a price of the unit

efficient-cloud-integrated-distributed-deep-neural-network-framework-for-iot-malware-classification

in this project we used image processing Technique to classify 9 class malwares our final goal is to reach an appropriate model with high accuracy and small size and computational cost

featureextractionusingdaisydescriptors

this is an implementation of feature extraction using Daisy Descriptors

featureextractionwithsift

this is a code for implementing SIFT descriptors and using them for feature extraction then comparing keypoints between two different view of an image

fpu_add_unit_vhdl

In this project we have implemented Add/Minus unit and operations in a Floating-Point unit

full-fpga-and-microcontroller-design

full designing a board containing PSB and schematic using Altium Designer

login_script

code for automate login process using docker and selenium library

microwind-project-flipflop

implementing a Flip-Flop that is insensitive to clock

mips-multicycle-cpu

in this project we have implemented MIPS multicycle projects using Vivado

object-detection-and-segmentation

object detection and segmentation project using template matching and other image processing techniques

readme-cheatsheet

an small cheatsheet for writing README.md file

real-time_audio_proceessing_on_game

this projects contains set of codes that will process the raw audio data for dataset creation and build MLP and CCN models forreal-time voice recognition with 4 classes. at last we implemented this model on a simple game

regressionusingfullyconnectednn

implementing Linear Regression using single two-layer neural network

regressionusingfullyconnectednn_2linear_relu

implementing Linear Regression using neural network with two linear layer and a ReLU activation function included

regressionusingfullyconnectednn_2linear_relu_do

implementing Linear Regression using neural network containing two linear layer and a ReLU activation function and also a Dropout layer to prevent overfitting to data

regressionusingfullyconnectednn_2linear_sigmoid

implementing Linear Regression using neural networks containing two linear layer and a Sigmid activation function included to see its effect of our model

ridgeregression

implementing single neuron Linear Regression with Ridge penalty and comparing with Scikit-Learn built-in functions

simpleregressionusingweightbiases-autograd

Implementing simple neuron regression model and comparing with Scikit-Learn built-in regression model

telegram_bot_template

telegram bot for connecting two stranger to talk

telegram_chatwordcloud

Creating a bot for extracting different telegram chat statistics

tokyo_messenger

self_made messenger

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