Making deep learning go brrrr from first principles (2022)(horace.io)

163 points by tosh 5 months ago | 59 comments

Making deep learning go brrrr from first principles (2022)(horace.io)

81 points by jpdus 3 years ago | 18 comments

Overview: What are Cpp2 and cppfront? How do I get and build cppfront?(hsutter.github.io)

178 points by cyber1 2 years ago | 139 comments

Physics-Based Deep Learning Book(physicsbaseddeeplearning.org)

285 points by sebg 2 years ago | 22 comments

Tracing Goroutines in Realtime with eBPF(sazak.io)

66 points by darccio 6 months ago | 7 comments

How to bring up the Linux Kernel on a new platform(werwolv.net)

67 points by WerWolv 1 month ago | 5 comments

Deep learning gets the glory, deep fact checking gets ignored(rachel.fast.ai)

549 points by chmaynard 1 year ago | 134 comments

Rachel Thomas blog post on how a high-profile Nature paper using a Transformer to predict enzyme functions contained many errors that received far less attention than the original result.

An Introduction to Statistical Learning with Applications in Python(statlearning.com)

359 points by alexmolas 3 years ago | 65 comments

Official website for the textbook An Introduction to Statistical Learning, offering free downloads of the R and Python editions plus resources and errata.

Deep Learning Is Applied Topology(theahura.substack.com)

473 points by theahura 1 year ago | 176 comments

A Substack essay from 12 Grams of Carbon arguing that deep learning is applied topology, explaining how neural networks transform data lying on manifolds.

Deep Learning Is Not So Mysterious or Different(arxiv.org)

445 points by wuubuu 1 year ago | 112 comments

arXiv paper by Andrew Gordon Wilson arguing deep learning generalization phenomena like benign overfitting and double descent are explainable by soft inductive biases.

Train Your Own LLM from Scratch(github.com)

376 points by kristianpaul 5 months ago | 43 comments

GitHub repository by angelos-p providing code and docs for training your own large language model from scratch.

Doing a Machine Learning PhD While Working in Japan(tokyodev.com)

126 points by pwim 26 days ago | 41 comments

A TokyoDev article by Marco Cognetta on completing a computer science PhD at Tokyo Institute of Technology on a MEXT scholarship while working at Google.