Torch
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Posit AI Blog: Implementing rotation equivariance: Group-equivariant CNN from scratch
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Convolutional neural networks (CNNs) are great – they’re able to detect features in an image no matter where. Well, not exactly. They’re not indifferent ...

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Posit AI Blog: Deep Learning and Scientific Computing with R torch: the book
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First things first: Where can you get it? As of today, you can download the e-book or order a print copy from the publisher, CRC Press; the free online ...

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Posit AI Blog: De-noising Diffusion with torch
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A Preamble, sort of As we’re writing this – it’s April, 2023 – it is hard to overstate the attention going to, the hopes associated with, and the fears ...

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Posit AI Blog: torch 0.10.0
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We are happy to announce that torch v0.10.0 is now on CRAN. In this blog post we highlight some of the changes that have been introduced in this version. ...

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Posit AI Blog: luz 0.4.0
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A new version of luz is now available on CRAN. luz is a high-level interface for torch. It aims to reduce the boilerplate code necessary to train torch ...

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Group-equivariant neural networks with escnn
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Today, we resume our exploration of group equivariance. This is the third post in the series. The first was a high-level introduction: what this is all ...

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Posit AI Blog: torch 0.11.0
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torch v0.11.0 is now on CRAN! This blog post highlights some of the changes included in this release. But you can always find the full changelog on the ...

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GPT-2 from scratch with torch
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Whatever your take on Large Language Models (LLMs) – are they beneficial? dangerous? a short-lived fashion, like crypto? – they are here, now. And that ...

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Understanding LoRA with a minimal example
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LoRA (Low-Rank Adaptation) is a new technique for fine tuning large scale pre-trained models. Such models are usually trained on general domain data, so ...

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Posit AI Blog: Hugging Face Integrations
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We are happy to announce the first releases of hfhub and tok are now on CRAN. hfhub is an R interface to Hugging Face Hub, allowing users to download and ...

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