shahrokhx Goto Github PK

followers: 18.0 following: 6.0 repos: 72.0 gists: 1.0

Name: Shahrokh Shahi

Type: User

Bio: Ph.D. in Computer Science, SWE @ Google, AI/ML Researcher 💻🖥📚📑

Twitter: shahi_shahrokh

Location: London (UK), San Francisco Bay Area (US)

Blog: https://www.sshahi.com/

Hi there 👋 I'm Shah (He/Him)

TL;DR:

🗓 | As of September 2021, I will only be using this GitHub account and all other codes that I maintained on other version control systems (e.g., GitHub Enterprise, GitLab, BitBucket) will be gradually trasferred (or simply copied!) to this account 👨🏻‍💻 🧳 😌

🔜 | More codes and documentations will be shared here soon. 😉 🥳

🔗 | This account also hosts the shared packages on my online portfolio🧑🏼‍💻 and the source codes that I developed and shared on MathWorks File Exchange and Python Package Index (PyPI 🐍)

$ WhoAmI?

I'm Shahrokh (/ʃɑ:hroʊk/), but usually go by "Shah" and "Sean" 😉

Currently, I’m a PhD graduate in Computer Science/Computational Science and Engineering (CSE) in the College of Computing at Georgia Institute of Technology. Prior to starting my PhD, I did two master’s degrees; one in Computer Science at Imperial College London and another in Structural Engineering at University of Tehran. My PhD research is mainly focused on developing Deep Learning algorithms, Reservoir Computing techniques, and data-driven approaches to build reliable predictive models for complex time series forecasting.

Aside from research, I have loved writing codes for entire of my life and had the experience of developing softwares in almost any programming language most people are aware of, such as C++, Python, Java, MATLAB, JS, Julia, and a bunch of others that most people may never heard of, such as Fortran, Perl, Prolog, and even Assembly (Yeah! I know!😅 but it was not rare back in the day when QBasic and Pascal were still taught in elementary schools)

$ What's the plan?

For a long time in my life, I've been using many different version control platforms including Github, GitLab, and BitBucket, and had various personal and enterprise accounts. But finally decided to stick with the sweet GitHub and migrate everything to here!

I have also started to organize my codes and release them. More information is available in my personal website, where the project section demonstrates a growing collection of the projects I've ever worked on. Moreover, the Download and Teaching sections provide descriptions and links to the source codes of the packages and toolboxes that I've ever developed.

$ Skills and tech preferences

💡
💻	Operating System	macOS, Ubuntu
⌨️	Editor	Sublime Text, Vim
⚙️	Programming Languages	Python, Java, MATLAB, C++, Perl, Julia, Fortran
👨🏻‍💻	Web Development	HTML, CSS, JavaScript, Flask, jQuery, Ajax
🦾	Machine Learning	TensorFlow, Keras, Scikit-Learn, D3.js, PyTorch, DL4J
☁️	Cloud	AWS, Azure ML Studio

📫 How to reach me:

twitter: @shahi_shahrokh
fb: @shahi.shahrokh

Shahrokh Shahi's Projects

100-days-of-ml-code

100 Days of ML Coding

al-folio-tests

A beautiful, simple, clean, and responsive Jekyll theme for academics

applied-ml

📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.

awesome-github-profile-readme

😎 A curated list of awesome GitHub Profile READMEs 📝

canvasscript

A simple Python script to automatically upload the grades and feedbacks on Canvas

clusteringalgorithms

A set of MATLAB codes implementing clustering algorithms

computernetworks

[Migrated from GitLab - Imperial College London ] All codes related to DOC-527: Computer Networks and Disributed Systems

concurrency

[Migrated from GitLab - Imperial College London ] All codes related to DOC-528: Concurrency

constrained_optimization_toolbox

A toolbox for visualizing the graphical approach in solving 2D constrained optimization problems.

coursera_deeplearning

Here is my submissions in the online specialization Deep Learning course

coursera_tensorflowdev

My submissions in TensorFlow Developer specialization on coursera

dataandvisualanalytics

This repository includes all codes & projects that I developed during CSE 6242 at Georgia Tech

dataassim.jl

Implementation of various ensemble Kalman Filter data assimilation methods in Julia

datasets

Machine learning datasets used in tutorials on MachineLearningMastery.com

deeplearning.ai_tf_dev

TF Developer Specialization | Deeplearning.ai | Four-course

deeplearning.ai_tf_dev_advanced

Public facing repo for TensorFlow Advanced Techniques specialization

deeplearning_computervision

A collection of convolutional neural network models for various computer vision tasks

deeplearning_sequencemodels

A collection of step-by-step deep learning solutions for sequence modeling and time series analysis tasks.

designedalgorithmproblems

A set of algorithm problems with solution that I designed when i was a head TA in course CS/CSE-6140 at Georgia Institute of Technology

ds-career-resources

Compilation of resources and insights that helped me on my journey to data scientist

easyesn

Python library for Reservoir Computing using Echo State Networks

echo-state-network

Matlab implementation of Echo State Network (reservoir computing)

echostatenetworks.jl

A julia implementation of Echo State Networks.

echotorch

A Python toolkit for Reservoir Computing and Echo State Network experimentation based on pyTorch. EchoTorch is the only Python module available to easily create Deep Reservoir Computing models.

evodynamic

EvoDynamic seeks to evolve and develop suitable discrete dynamic models of self-organizing systems based on local interactions.

export_fig

A MATLAB toolbox for exporting publication quality figures

facebook-scraper

Scrape Facebook public pages without an API key

fem_educational_demos

A set of educational and visualization scripts to help engineering students learn and internalize FEM concepts.

fem_matlab_assignments

This is a set of weekly MATLAB assignments walking undergrad and grad students in engineering majors (ME, CEE, AE, etc.) through FEM concepts by practically implementing a complete truss analyzing program in MATLAB. A step-by-step problem description is added for each assignment, and a complete solution is also provided.

fem_programmingproject

This is a complete MATLAB project, designed for grad engineering students (e.g. ME, CEE, AE, etc.), to learn and internalize finite element methods through implementing the FEM concepts. This project includes a complete (~30 pages) description and instructions for implementation, the skeleton files, and input file examples. The solutions and an auto-grader code to evaluate the students submissions are also available upon request.