sarbjotm

phonological-similarity-networks-SUBTLEX

Analyzing-Vitevitch-Network

Balloon-Finder

Basic-Web-Server

Created a simple we server that handles one HTTP request at a time, and implements 200, 304, 400, 404 and 408 messages using socket programming. Extended the simple web server to a multi-threaded version, that is capable of handling multiple requests simultaneously

depth-of-field-calculator

Depth-Of-Field-Calculator-Android

Kiwi

Kiwi acts as a mascot for the SFU Dodo Club. All commands have been coded by club members using Python and Python libraries

restaurant-health-inspector-app

Sudoku-Solver-Analysis

Synthesize-SWI-Type-MRI-Scans

For this project, in a group of five we used Python and trained Adversarial Neural Networks so they could Synthesize SWI-Type MRI Scans The project aimed at reducing the time needed (and the cost) to perform an extensive MRI exam by generating MRI sequences from previously obtained scans of different types through a tailored deep learning model, namely an adversarial neural network. In more detail, the current project will synthesize the SWI sequence from T1w, T2w, and FLAIR. A successful application of the latter would allow medical staff to perform a lower number of sequences (reducing examination time), and to subsequently obtain the remaining needed sequences with software. The libraries used in the project were dominate, fnmatch, getopt, gzip, imageio, nibabel, numpy, os, pandas, pillow, pytorch, scipy, shutil, torchvision version 0.2.0, torchviz, tqdm, unet, and visdom. The deep learning model used for the purpose of this project is known as Multi-Modal Generative Adversarial Network (MM-GAN),

sarbjotm/Kiwi

Kiwi acts as a mascot for the SFU Dodo Club. All commands have been coded by club members using Python and Python libraries

sarbjotm/Balloon-Finder

sarbjotm/depth-of-field-calculator

sarbjotm/Depth-Of-Field-Calculator-Android

sarbjotm/restaurant-health-inspector-app

sarbjotm/Analyzing-Vitevitch-Network

sarbjotm/Basic-Web-Server

Created a simple we server that handles one HTTP request at a time, and implements 200, 304, 400, 404 and 408 messages using socket programming. Extended the simple web server to a multi-threaded version, that is capable of handling multiple requests simultaneously

sarbjotm/Blast-Them-Away

sarbjotm/Sudoku-Solver-Analysis

sarbjotm/Synthesize-SWI-Type-MRI-Scans

For this project, in a group of five we used Python and trained Adversarial Neural Networks so they could Synthesize SWI-Type MRI Scans The project aimed at reducing the time needed (and the cost) to perform an extensive MRI exam by generating MRI sequences from previously obtained scans of different types through a tailored deep learning model, namely an adversarial neural network. In more detail, the current project will synthesize the SWI sequence from T1w, T2w, and FLAIR. A successful application of the latter would allow medical staff to perform a lower number of sequences (reducing examination time), and to subsequently obtain the remaining needed sequences with software. The libraries used in the project were dominate, fnmatch, getopt, gzip, imageio, nibabel, numpy, os, pandas, pillow, pytorch, scipy, shutil, torchvision version 0.2.0, torchviz, tqdm, unet, and visdom. The deep learning model used for the purpose of this project is known as Multi-Modal Generative Adversarial Network (MM-GAN),

sarbjotm/Binary-Search-Tree

sarbjotm/CSP

sarbjotm/digital-portfolio

sarbjotm/Dr.Napkin

Napkin acts as a mascot for the SFU Dodo Club. All commands have been coded by club members using Python and Python libraries

sarbjotm/ds-toolbox-assignment5

sarbjotm/enhanced-discord.py

An enhanced discord.py, based off of the now-archived discord.py project

sarbjotm/files_to_copy

sarbjotm/Hangman

Hangman Game Created with Python3

sarbjotm/jupyterlab_practice

sarbjotm/mario-baseball-chemistry

sarbjotm/Ocular

sarbjotm/project

sarbjotm/Python-Practice-Database

sarbjotm/randompage

sarbjotm/recipe

sarbjotm/rrarar

sarbjotm/sarbjotm

sarbjotm/Soluciones-Klenberg

Algorithm Design (Kleinberg Tardos 2005) - Solutions

sarbjotm/To-Do-List

sarbjotm/weather-app