Pouya Khani (PouyaKhn)

PouyaKhn

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Company:Sharif university of Technology

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Pouya Khani's repositories

DIP_HWs_Project_Exams

This repository contains my codes and solutions for homework, exams, and final project of Digital Image Processing course held at Sharif University of Technology (SUT) by Prof. Mansour Jamzad in Fall 2020.

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ML-Projects-HWs

This repository contains my codes and solutions for homework and final project of Machine Learning course held at Sharif University of Technology (SUT) by Prof. Mohammad Hossein Rohban in Spring 2021.

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AGT_HWs_Project

This repository contains my solutions for homework and project of Algorithmic Game Theory course held at Sharif University of Technology (SUT) by Prof. Mohammad Izadi in Fall 2020.

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Biomedical_Imaging

This repository contains my self-study codes and training for Biomedical Image Processing and Analysis

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causal

This repository contains my notes, highlights, and codes in my self-study process of learning causality, causal inference, and finally causal machine learning.

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DL_HWs

This repository contains my codes and solutions for homework of Deep Learning course held at Sharif University of Technology (SUT) by Prof. Hamid Beigy in Spring 2021.

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DS4SE

This repository contains my codes for homeWork of Data Science in Software Engineering course held at Sharif University of Technology (SUT) by Prof. Abbas Heydarnoori in Fall 2021.

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NLP_HWs

This repository contains my codes for homework and projects of Natural Language Processing (NLP) course held at Sharif University of Technology (SUT) by Prof. Ehsaneddin Asgari in Spring 2022.

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Pouyakhn.github.io

Pouya Khani Personal Website

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PrePars

Farsi text Preprocessing Python library

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Recommendation_letters

This repository contains my letters of recommendation from my academic supervisors and colleagues.

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SP_HWs

This repository contains my codes and solutions for homework of Stochastic Process course held at Sharif University of Technology (SUT) by Prof. Mahdi Jafari Siavoshani in Spring 2021.

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YouTube-Blog

Codes to complement YouTube videos and blog posts on Medium.

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