Skip to content

Terra Incognita

by Christian S. Perone

Search for:

Home
X
BlueSky (BSky)
Github
LinkedIn

Home

»

2019

»

March

»

Randomized prior functions in PyTorch

»

Final model trained with the sin() prior.

»

Final model trained with the sin() prior.

Post navigation

Randomized prior functions in PyTorch

Leave a Reply Cancel reply

Your email address will not be published. Required fields are marked *

Comment *

Name

Email

Website

Δ

This site uses Akismet to reduce spam. Learn how your comment data is processed.

Author

Christian S. Perone
Machine Learning Research Engineer
London, UK

Search for:

Recent Posts

Notes on Gilbert Simondon’s “On the Mode of Existence of Technical Objects” and Artificial Intelligence
The geometry of data: the missing metric tensor and the Stein score [Part II]
Torch Titan distributed training code analysis
Memory-mapped CPU tensor between Torch, Numpy, Jax and TensorFlow
Generalisation, Kant’s schematism and Borges’ Funes el memorioso – Part I
PyTorch 2 Internals – Talk
Thoughts on Riemannian metrics and its connection with diffusion/score matching [Part I]
Large language model data pipelines and Common Crawl (WARC/WAT/WET)
Feste: composing NLP tasks with automatic parallelization and batching
Couple of recent publications in uncertainty estimation and autonomous vehicles
[pt-br] Dados das enchentes no Rio Grande do Sul (RS) em 2024
Tutorial on using LLVM to JIT PyTorch fx graphs to native code (x86/arm/risc-v/wasm) (Part I – Scalars)
Arduino WAN, Helium network and cryptographic co-processor

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

Copyright All Rights Reserved 2024

Proudly powered by WordPress | Theme: Polite by Template Sell.

This website uses cookies to improve your experience. We'll assume you're ok with this, but you can opt-out if you wish. Cookie settings ACCEPT

Privacy & Cookies Policy

Privacy Overview

This website uses cookies to improve your experience while you navigate through the website. Out of these cookies, the cookies that are categorized as necessary are stored on your browser as they are essential for the working of basic functionalities of the website. We also use third-party cookies that help us analyze and understand how you use this website. These cookies will be stored in your browser only with your consent. You also have the option to opt-out of these cookies. But opting out of some of these cookies may have an effect on your browsing experience.

Necessary

Always Enabled

Necessary cookies are absolutely essential for the website to function properly. This category only includes cookies that ensures basic functionalities and security features of the website. These cookies do not store any personal information.

Non-necessary

Any cookies that may not be particularly necessary for the website to function and is used specifically to collect user personal data via analytics, ads, other embedded contents are termed as non-necessary cookies. It is mandatory to procure user consent prior to running these cookies on your website.

SAVE & ACCEPT