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13 Oct 25

Matrix Core Programming on AMD CDNA3 and CDNA4 architecture

https://salykova.github.io/matrix-cores-cdna
by struanr 3 months ago
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Understanding optimization in deep learning with central flows

https://centralflows.github.io/
by struanr 3 months ago
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30 Sep 25

Introduction to Applied Linear Algebra – Vectors, Matrices, and Least Squares

https://web.stanford.edu/~boyd/vmls/
by struanr 4 months ago
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Practical Linear Algebra: A Geometry Toolbox

https://www.farinhansford.com/books/pla/
by struanr 4 months ago
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Linear Algebra Pure and Applied

https://books.google.co.uk/books/about/Linear_Algebra_Pure_Applied.html
by struanr 4 months ago
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02 Sep 25

From Multi-Head to Latent Attention: The Evolution of Attention Mechanisms

https://vinithavn.medium.com/from-multi-head-to-latent-attention-the-evolution-of-attention-mechanisms-64e3c0505f24
by struanr 5 months ago
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17 Jul 25

TPU Deep Dive

https://henryhmko.github.io/posts/tpu/tpu.html
by struanr 6 months ago saved 2 times
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28 May 25

MIT OpenCourseWare

https://ocw.mit.edu/
by struanr 8 months ago
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Understanding Gaussians

https://gestalt.ink/gaussians
by struanr 8 months ago
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27 May 25

Introduction to Flow Matching and Diffusion Models

https://diffusion.csail.mit.edu/
by struanr 8 months ago saved 2 times
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02 May 25

Generative transformer from first principles in Julia

https://liorsinai.github.io/machine-learning/2024/03/23/transformers-gpt
by struanr 9 months ago
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Transformers from first principles in Julia

https://liorsinai.github.io/machine-learning/2022/05/18/transformers
by struanr 9 months ago
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MicroGrad.jl

https://liorsinai.github.io/machine-learning/2024/07/27/micrograd-1-chainrules.html

A series on automatic differentiation in Julia.

by struanr 9 months ago
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01 May 25

Diffusion models from scratch, from a new theoretical perspective

https://www.chenyang.co/diffusion.html
by struanr 9 months ago
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Beyond Euclid: An Illustrated Guide to Modern Machine Learning with Geometric, Topological, and Algebraic Structures

https://www.arxiv.org/abs/2407.09468
by struanr 9 months ago
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A User’s Guide to Statistical Inference and Regression

https://mattblackwell.github.io/gov2002-book/
by struanr 9 months ago
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Hasktorch

https://github.com/hasktorch/hasktorch

Hasktorch is a library for tensors and neural networks in Haskell.

by struanr 9 months ago
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The Pragmatic Programmer for Machine Learning

https://ppml.dev/
by struanr 9 months ago
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Autodidax: JAX core from scratch

https://docs.jax.dev/en/latest/autodidax.html
by struanr 9 months ago
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Neural Networks: Zero to Hero

https://karpathy.ai/zero-to-hero.html
by struanr 9 months ago saved 4 times
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