Seyed-Ali-Ahmadi

Awesome_Satellite_Benchmark_Datasets

Supplementary material for our paper "THERE IS NO DATA LIKE MORE DATA" is provided.

BDA_SKUNet

Repository for "BD-SKUNet: Selective-Kernel UNets for Building Damage Assessment in High-Resolution Satellite Images"

Building-Damage-Assessment

This is part of my thesis which is publicly available here.

Digital-Image-Processing

This is a course depository from K. N. Toosi University of Technology. The course is Digital Image Processing taught by Dr. Yasser Maqsoudi and Seyed Ali Ahmadi in geomatics faculty of K.N.T. University of technology. The course material is currently uploaded in Google Classroom, but we are considering to distribute some of the material here for public usage. You can use the codes and theories of digital image processing freely with no licences; but using the slides and other copyrighted material without making citations is forbidden.

FirePred

Contains codes of the paper "FirePred: A hybrid multi-temporal convolutional neural network model for wildfire spread prediction" using environmental variables

Graph-based_ITCD

Codes for paper "Graph-based individual tree crown detection"

ISRC-PY4EO-Course

This is an advanced course of Python applications in remote sensing.

Python-for-Remote-Sensing

python codes for remote sensing applications will be uploaded here. I will try to teach everything I learn during my projects in here.

PythonSchool

This is considered to be a place to store useful material for learning Python. It's also the base repo for the Python courses in KNTU.

scikit-learn

scikit-learn: machine learning in Python

Seyed-Ali-Ahmadi/Awesome_Satellite_Benchmark_Datasets

Supplementary material for our paper "THERE IS NO DATA LIKE MORE DATA" is provided.

Seyed-Ali-Ahmadi/Python-for-Remote-Sensing

python codes for remote sensing applications will be uploaded here. I will try to teach everything I learn during my projects in here.

Seyed-Ali-Ahmadi/Digital-Image-Processing

This is a course depository from K. N. Toosi University of Technology. The course is Digital Image Processing taught by Dr. Yasser Maqsoudi and Seyed Ali Ahmadi in geomatics faculty of K.N.T. University of technology. The course material is currently uploaded in Google Classroom, but we are considering to distribute some of the material here for public usage. You can use the codes and theories of digital image processing freely with no licences; but using the slides and other copyrighted material without making citations is forbidden.

Seyed-Ali-Ahmadi/FirePred

Contains codes of the paper "FirePred: A hybrid multi-temporal convolutional neural network model for wildfire spread prediction" using environmental variables

Seyed-Ali-Ahmadi/PythonSchool

This is considered to be a place to store useful material for learning Python. It's also the base repo for the Python courses in KNTU.

Seyed-Ali-Ahmadi/BDA_SKUNet

Repository for "BD-SKUNet: Selective-Kernel UNets for Building Damage Assessment in High-Resolution Satellite Images"

Seyed-Ali-Ahmadi/Building-Damage-Assessment

This is part of my thesis which is publicly available here.

Seyed-Ali-Ahmadi/Graph-based_ITCD

Codes for paper "Graph-based individual tree crown detection"

Seyed-Ali-Ahmadi/ISRC-PY4EO-Course

This is an advanced course of Python applications in remote sensing.

Seyed-Ali-Ahmadi/pytorch-tutorial

PyTorch Tutorial for Deep Learning Researchers

Seyed-Ali-Ahmadi/scikit-learn

scikit-learn: machine learning in Python

Seyed-Ali-Ahmadi/CS231

Complete Assignments for CS231n: Convolutional Neural Networks for Visual Recognition

Seyed-Ali-Ahmadi/jupyter

Jupyter metapackage for installation, docs and chat

Seyed-Ali-Ahmadi/pointcloud

Seyed-Ali-Ahmadi/scipy-2017-sklearn

Scipy 2017 scikit-learn tutorial by Alex Gramfort and Andreas Mueller

Seyed-Ali-Ahmadi/Seyed-Ali-Ahmadi

My personal repository ;-)