Seyed Ali Ahmadi's Projects
A curated list of awesome Machine Learning frameworks, libraries and software.
Complete Assignments for CS231n: Convolutional Neural Networks for Visual Recognition
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.
Jupyter metapackage for installation, docs and chat
python codes for remote sensing applications will be uploaded here. I will try to teach everything I learn during my projects in here.
PyTorch Tutorial for Deep Learning Researchers
scikit-learn: machine learning in Python
Scipy 2017 scikit-learn tutorial by Alex Gramfort and Andreas Mueller
Deep Learning Summer School 2017 @ University of Tehran, Iran