Abstract: Bayesian inference provides a methodology for parameter estimation and uncertainty quantification in machine learning and deep learning methods. Variational inference and Markov Chain ...

Learn how to create contour plots in Python using NumPy’s meshgrid and Matplotlib. This step-by-step tutorial shows you how to generate grids, compute functions over them, and visualize data ...

Not everyone will write their own optimizing compiler from scratch, but those who do sometimes roll into it during the course ...

Python turns 32. Explore 32 practical Python one-liners that show why readability, simplicity, and power still define the ...

This repository contains the source code for TensorFlow Privacy, a Python library that includes implementations of TensorFlow optimizers for training machine learning ...

With countless applications and a combination of approachability and power, Python is one of the most popular programming ...

Welcome to the GitHub repository for Network Analysis Made Simple! This is a tutorial designed to teach you the basic and practical aspects of graph theory. It has been presented at multiple ...