How To Learn Python For Free: 10 Online Resources

With countless applications and a combination of approachability and power, Python is one of the most popular programming ...
Deep Learning with Yacine on MSN

Nesterov accelerated gradient (NAG) from scratch in Python – step-by-step tutorial

Dive deep into Nesterov Accelerated Gradient (NAG) and learn how to implement it from scratch in Python. Perfect for ...
Deep Learning with Yacine on MSN

AdamW optimizer from scratch in Python – step-by-step tutorial

Build the AdamW optimizer from scratch in Python. Learn how it improves training stability and generalization in deep ...
IEEE

A tutorial overview of anomaly detection in hyperspectral images

Abstract: In this paper, a tutorial overview on anomaly detection for hyperspectral electro-optical systems is presented. This tutorial is focused on those techniques that aim to detect small man-made ...
GitHub

Kalman and Bayesian Filters in Python

Introductory text for Kalman and Bayesian filters. All code is written in Python, and the book itself is written using Jupyter Notebook so that you can run and modify the code in your browser. What ...
GitHub

py27hash: Python 2.7 hashing and iteration in Python 3+

This package helps ease the migration from Python 2 to 3 for applications that depend on the old hash/iteration order of sets/dicts. Even when setting PYTHONHASHSEED=0, the hash (and default iteration ...