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“Any fool can write code that a computer can understand. Good programmers write code that humans can understand.”
— Martin Fowler

Mohammadhossein Malekpour's Projects

awesome-text2sql icon awesome-text2sql

Curated tutorials and resources for Large Language Models, Text2SQL, Text2DSL、Text2API、Text2Vis and more.

bank-loan-modelling icon bank-loan-modelling

Exploring customer conversion from liability to personal loan customers for a bank through EDA and classification modeling, using demographic and banking data to predict acceptance of personal loans.

charity icon charity

Blockchain course project with hyperledger composer.

chat-harassment-detection icon chat-harassment-detection

An NLP-based solution for detecting harassment in user chats, developed for the Divar platform's Health Hackathon.

covid-global-data icon covid-global-data

R package for capturing and visualizing covid-19 data of Johns Hopkins University.

ddpm-pytorch-implementation icon ddpm-pytorch-implementation

Implementation of Differentiable Diffusion Probabilistic Models (DDPM) for image generation on the MNIST dataset using PyTorch.

deploying-ml-model-on-aws icon deploying-ml-model-on-aws

Deploy Flask web apps with ML model inference in Docker containers on AWS EC2. Includes setup and scalable deployment instructions.

flask-blog icon flask-blog

A Flask-based mini-project for learning purposes, featuring the development of a blog application.

human-activity-recognition icon human-activity-recognition

Performing Human Activity Recognition using MLP and 1D CNN on accelerometer data to classify activities like Walking, Jogging, Sitting, etc.

iran-covid19 icon iran-covid19

Iran confirmed, recovered and deaths cases visualization with ggplot2.

ml-satd-quantification icon ml-satd-quantification

A research project analyzing and quantifying the resolution efforts of Self-Admitted Technical Debt (SATD) in Machine Learning (ML) projects.

ml2021 icon ml2021

This repository contains the materials and links for the Machine Learning (M.Sc) course, given on Fall 2021 at Amirkabir University of Technology. I am the teaching assistant of this course.

ner icon ner

Arabic Named-entity recognition.

sentiment-analysis icon sentiment-analysis

Comparative analysis of RNN and Transformer models for sentiment analysis on Yelp Polarity dataset, incorporating LSTM, attention mechanisms, and LayerNorm.

simclr-pytorch-implementation icon simclr-pytorch-implementation

Implementation of the SimCLR algorithm for contrastive learning of visual representations using PyTorch, with experiments on the STL-10 dataset.

sudoku-csp icon sudoku-csp

CSP stands for Constraint Satisfaction Problem.

tictactoe-alphabetapruning icon tictactoe-alphabetapruning

It is an adversarial search algorithm used commonly for machine playing of two-​player games (Tic-tac-toe, Chess, Go, etc.)

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