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

This project allows to sync tasks between Google Task and Microsoft To Do. It's aimed to be ran as a background server. To run the app, you only have to run the main.py file with python At the first ...

Photoshop tutorial showing how to transform an image into looking like a vintage, retro, analog-type lomograph. Latest weather forecast for dangerous, massive US winter storm Why Elon Musk says saving ...

Pygplib (Python First-Order Graph Property Library) is a Python module for constructing, manipulating, and encoding graph properties expressible with first-order logic of graphs. It serves as a ...