A PyTorch implementation of the DeFoG model for training and sampling discrete graph flows. (Please update to the latest commit. Recent fixes have been applied.) Working with directed graphs? Consider ...

Have you ever faced the daunting task of identifying and prioritizing risks in a project, only to feel overwhelmed by the sheer complexity of it all? Whether you’re managing a multi-million-dollar ...

A Column Chart can be used to create the most common form of a timeline in Excel, which consists of a horizontal layout with a time-based X-axis and events or ...

Pull requests help you collaborate on code with other people. As pull requests are created, they’ll appear here in a searchable and filterable list. To get started, you should create a pull request.

Sampling from probability distributions with known density functions (up to normalization) is a fundamental challenge across various scientific domains. From Bayesian uncertainty quantification to ...

Abstract: Utilizing deep learning techniques for spacecraft pose estimation enables using low-cost sensors like monocular cameras. However, the existing methods have drawbacks, such as complex models ...

David Spiegelhalter is emeritus professor of statistics at the University of Cambridge, UK. He is the author of The Art of Uncertainty: How to Navigate Chance, Ignorance, Risk and Luck (Penguin, 2024) ...

Line graphs are a great way to organize and present your data. If you use Microsoft Excel to compile, present, and analyze data, then you're in luck – Excel has a handy feature that allows you to ...

Accelerate your tech game Paid Content How the New Space Race Will Drive Innovation How the metaverse will change the future of work and society Managing the ...

If you’re looking for a straightforward method to automate the generation of Excel reports, such as those for end-of-month financial results, there is a simple solution that can save you time and ...