mejokar,Mehdi Jokar ,github

👋 Hi, I’m Mehdi Jokar
👀 I’m a self-driven machine learning scientist passionate about skill development to attain intelligent resolutions for industrial and research projects challenges.
🌱 I’m currently working on the last stage of my PhD, dedicated to the development of data-driven and knowledge-driven deep learning-based simulation techniques.
📫 I can be reached via my linkedin at www.linkedin.com/in/mejokar

Mehdi Jokar 's Projects

2021_mssp

This repository contains the established models discussed in the paper: "A Physics-constrained Deep Learning Based Approach for Acoustic Inverse Scattering Problems"

data-analytics-se

ME 539 - Introduction to Scientific Machine Learning

docs

TensorFlow documentation

export_fig

A MATLAB toolbox for exporting publication quality figures

ktrain-sample

Fine-tuning a BERT model using Ktrain | Transfer Learning NLP | Fine Tune Bert For Text Classification

leetcode

Python & JAVA Solutions for Leetcode

mejokar

Config files for my GitHub profile.

pinns

Physics Informed Deep Learning: Data-driven Solutions and Discovery of Nonlinear Partial Differential Equations

pytorch-seq2seq

Tutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText.

uq-course

Introduction to Uncertainty Quantification

ztm

Lets Git started in the world of opensource, starting in the Zero To Mastery's opensource playground. Especially designed for education and practical experience purposes.

ztm_python_codes

Contains all the code samples from the Zero to Mastery : Master the Coding Interview - Data Structures + Algorithms course by Andrei Neagoie, in Python.

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