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- Advancements in machine learning for machine learning – Google Research Blog https://blog.research.google/2023/12/advancements-in-machine-learning-for.html 151 comments
- GitHub - betty200744/ultimate-go: This repo contains my notes on working with Go and computer systems. https://github.com/betty200744/ultimate-go 82 comments
- Modular: AIâs compute fragmentation: what matrix multiplication teaches us https://www.modular.com/blog/ais-compute-fragmentation-what-matrix-multiplication-teaches-us 44 comments
- Why OpenAI developing an artificial intelligence that's good at maths is such a big deal https://theconversation.com/why-openai-developing-an-artificial-intelligence-thats-good-at-maths-is-such-a-big-deal-219029 31 comments
- Compressed Sparse Fibers Explained – BorisTheBrave.Com https://www.boristhebrave.com/2021/01/01/compressed-sparse-fibers-explained/ 15 comments
- GitHub - andrejewski/matt: JavaScript DSL for Matrices https://github.com/andrejewski/matt 15 comments
- A Gentle Introduction to Erasure Codes https://www.akalin.com/intro-erasure-codes 7 comments
- GitHub - arnauddri/algorithms: Algorithms & Data Structures in Go https://github.com/arnauddri/algorithms 7 comments
- How to Create a circular matrix table in C# .NET - Dot Net Office https://www.dotnetoffice.com/2022/09/how-to-create-circular-matrix-table-in.html 5 comments
- GitHub - nomemory/neat-matrix-library: nml is a "simple" matrix/numerical analysis library written in pure C. The scope of the library is to highlight various algorithm implementations related to matrices. Code readability was a major concern. https://github.com/nomemory/neat-matrix-library 4 comments
- Quibbling Over Qubits. A prequel to the quantum computer… | by Nicholas Teague | From the Diaries of John Henry | Medium https://medium.com/@_NicT_/quibbling-over-qubits-f2ca1b87f470#.fq37k2e81 4 comments
- Overview | Odin Programming Language https://odin-lang.org/docs/overview/#when-statement 3 comments
- Introducing TensorNetwork, an Open Source Library for Efficient Tensor Calculations – Google AI Blog https://ai.googleblog.com/2019/06/introducing-tensornetwork-open-source.html 1 comment
- Building an AI that can read your mind | by Vegard Flovik | Towards Data Science https://towardsdatascience.com/building-an-ai-that-can-read-your-mind-8b22ad5a7f05 0 comments
- A casual intro to Machine Learning | by Renaisscience | Medium https://towardsdatascience.com/a-casual-intro-to-machine-learning-f43ccf316245 0 comments
- The unknown side of search: when words become numbers - https://blog.majestic.com/company/the-unknown-side-of-search-when-words-become-numbers/ 0 comments
- Bringing the Power of SIMD.js to gl-matrix - Mozilla Hacks - the Web developer blog https://hacks.mozilla.org/2015/12/bringing-the-power-of-simd-js-to-gl-matrix/ 0 comments
- Similarity-Sensitive Diversity. Conventional diversity fails to… | by Daniel Tunkelang | Medium https://dtunkelang.medium.com/similarity-sensitive-diversity-16a35d64f48c 0 comments
- Dev.Opera — Understanding the CSS Transforms Matrix http://dev.opera.com/articles/view/understanding-the-css-transforms-matrix/ 0 comments
- Simulating 2D diffusion-limited aggregation (DLA) with JavaScript | by Jason Webb | Medium https://medium.com/@jason.webb/simulating-dla-in-js-f1914eb04b1d 0 comments
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