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followers: 44.0 following: 17.0 repos: 173.0 gists: 103.0

Name: Mohamed Elashri

Type: User

Company: University of Cinccinati

Bio: Particle Physicist at CERN & Ph.D. Candidate at UC. You should not run my code!

Location: United States

Blog: https://melashri.net

Hi there 👋

I’m a Particle Physics PhD Candidate at university of Cincinnati, conducting research as part of the LHCb experiment at CERN. I'm passionate about exploring the fundamental nature of matter and applying Machine Learning techniques to solve complex problems in High Energy Physics.

Personal Website • LinkedIn • Email • Keybase

🔭 I’m currently working at CERN with LHCb Collaboration
🌱 I’m currently learning Machine learning
👯 I’m looking to collaborate on Applying Machine learning in High Energy Physics
💬 Ask me about Particle Physics, Machine learning and self-hosting
📫 How to reach me: Email

⚠️ Important Notice ⚠️

Please, read any code before running it. Understand its functionality and ensure it aligns with your expectations and environment. Your use of any code here is at your own risk.

Mohamed Elashri's Projects

4-top

Classification of 4-top events using Machine Learning

advanced-computer-vision-with-tensorflow

Advanced Computer Vision with TensorFlow Coursera Course

advanced-deployment-scenarios-with-tensorflow

Advanced Deployment Scenarios with TensorFlow

ai-for-medical-diagnosis

AI for Medical Diagnosis deeplearning.ai specialization

ai-for-medical-prognosis

AI for Medical Prognosis coursera

ai-for-medical-treatment

My AI for Medical Treatment Coursera Programming Assignment Solutions

ai-python

AI Programming with python Nanodegree

analysis-of-earthquake-time-series-data-to-predict-future-earthquake-events-using-different-approach

applied-data-science-capstone

Applied Data Science Capstone Coursera course

applied-text-mining-in-python

Applied Text Mining in Python Coursera Course

apply-generative-adversarial-networks-gans

Apply Generative Adversarial Networks (GANs) Coursera work

apply-generative-adversarial-networks-gans-

Apply Generative Adversarial Networks (GANs) Coursera Course

arxiv

My personal arxiv feed

arxiv-vs-vixra

NLP classifier to determine if the source from arxiv or vixra

arxiv_tts

A webapp to read arxiv papers using text to speech model

arxivabscraper

A python module for scraping arxiv abstracts for NLP testing purpose.

authlog-analyzer

Authlog analyzer that parse auth.log and provide useful information

awesome-astronomy

😎 Awesome lists about Astronomy stuff. ⭐ Databases, sites, Twitter accounts, projects, NASA, ESA, JAXA, and more 🚀

awesome-mac

 Now we have become very big, Different from the original idea. Collect premium software in various categories.

awesome-sysadmin

MOVED/ARCHIVED A curated list of amazingly awesome open source sysadmin resources.

awesome-zotero

A curated list of awesome Zotero resources

awesome-zsh-plugins

A collection of ZSH frameworks, plugins, themes and tutorials.

bearblog

Free, no-nonsense, super fast blogging (my docker version)

bfit

custom and simple fit module

bottom-zsh

bottom aliases plugin for zsh

browser-based-models-with-tensorflow.js

My work in Browser-based Models with TensorFlow.js Coursera course

build-basic-generative-adversarial-networks

Build Basic Generative Adversarial Networks courera deeplearning.ai

build-better-generative-adversarial-networks-gans-

Build Better Generative Adversarial Networks (GANs) coursera

cms-undergraduet-probject

My Graduation Project

cocalc

custom cocalc docker image

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