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Hi there 👋

About me

I am an experienced researcher and developer in the fields of machine learning, data science, and deep learning.

I love working with data to solve industry challenges, educating others about data's value, and helping ML engineers excel in their technical roles. My expertise and strengths include mathematics (optimization theory) and statistics (and stochastic processes), Python, team building, and leadership.

Mohammad Ali Dastgheib's Projects

precourse icon precourse

A repo for the pre-course work at home exercises

probabilistic-graphical-model icon probabilistic-graphical-model

This repository contains my implementation of the programming assignments of Probabilistic Graphical Models delivered by Stanford University on Coursera

probability icon probability

Probabilistic reasoning and statistical analysis in TensorFlow

python-project-pillow-tesseract-and-opencv icon python-project-pillow-tesseract-and-opencv

About this Course This course will walk you through a hands-on project suitable for a portfolio. You will be introduced to third-party APIs and will be shown how to manipulate images using the Python imaging library (pillow), how to apply optical character recognition to images to recognize text (tesseract and py-tesseract), and how to identify faces in images using the popular opencv library. By the end of the course you will have worked with three different libraries available for Python 3 to create a real-world data-analysis project. The course is best-suited for learners who have taken the first four courses of the Python 3 Programming Specialization. Learners who already have Python programming skills but want to practice with a hands-on, real-world data-analysis project can also benefit from this course. This is the fifth and final course in the Python 3 Programming Specialization.

pytorch-image-models icon pytorch-image-models

PyTorch image models, scripts, pretrained weights -- (SE)ResNet/ResNeXT, DPN, EfficientNet, MixNet, MobileNet-V3/V2, MNASNet, Single-Path NAS, FBNet, and more

qmc5883lcompass icon qmc5883lcompass

QMC5883L Compass is a Arduino library for using QMC5583L series chip boards as a compass. Supports: - Getting values of XYZ axis. - Calculating Azimuth. - Getting 16 point Azimuth bearing direction (0 - 15). - Getting 16 point Azimuth bearing Names (N, NNE, NE, ENE, E, ESE, SE, SSE, S, SSW, SW, WSW, W, WNW, NW, NNW) - Smoothing of XYZ readings via rolling averaging and min / max removal. - Optional chipset modes

readabilitymetrics icon readabilitymetrics

A web service that computes a set of readability metrics for text. We currently support the following metrics: Automated Readability Index, Coleman-Liau Index, Flesch–Kincaid Grade Level, Flesch Reading Ease, Gunning-Fog Index, SMOG score, and SMOG Index.

retina-features icon retina-features

Project for segmentation of blood vessels, microaneurysm and hardexudates in fundus images.

retina-unet icon retina-unet

Retina blood vessel segmentation with a convolutional neural network

rfsr icon rfsr

Random Forest Super-Resolution (RFSR)

samplevae icon samplevae

Multi-purpose tool for sound design and music production implemented in TensorFlow.

satsr icon satsr

A project to perform super-resolution on multispectral images from any satellite

segan icon segan

Speech Enhancement Generative Adversarial Network in TensorFlow

simrdwn icon simrdwn

Rapid satellite imagery object detection

sincnet icon sincnet

SincNet is a neural architecture for efficiently processing raw audio samples.

sms-tools icon sms-tools

Sound analysis/synthesis tools for music applications

snowboy icon snowboy

DNN based hotword and wake word detection toolkit

spotfake icon spotfake

This repository contains the code for the paper titled: SpotFake: A multimodal framework for fake news detection

spotfakeplus icon spotfakeplus

This repository contains code and dataset for the paper titled: SpotFake+: A Multimodal Framework for Fake News Detection via Transfer Learning.

sr_utils icon sr_utils

Super-Resolution Utilities for managing large satellite images

srcnn icon srcnn

Super Resolution for Satellite Imagery

srgan icon srgan

Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network

ssd-spacenet icon ssd-spacenet

Detect buildings in the Spacenet satellite imagery dataset using Single Shot MultiBox Detector (SSD)

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