📐 Linear Algebra - matmat · Scour

Treating Functions as Vectors in Hilbert Space

hackaday.com·2d

📊Quantization

Gaussian concentration bounds for probabilistic cellular automata | Journal of Statistical Physics

link.springer.com·1d

🔲Cellular Automata

Parameter-free inexact block Schur complement preconditioning for linear poroelasticity under a hybrid Bernardi-Raugel and weak Galerkin finite element discretization

arxiv.org·2d

🎯Performance Proofs

Algebraic Topology 1: Homotopy Equivalence

youtube.com·12h

🕸️Algebraic Topology

Stanford CS 224N | Natural Language Processing with Deep Learning

web.stanford.edu·1d

🧠Machine Learning

faradayio/xsv2: Fork of xsv because qsv is too much

github.com·12h·

Discuss: Hacker News

🗜️LZSS Variants

Pandas vs Polars: Why the 2025 Evolution Changes Everything

dev.to·12h·

Discuss: DEV

🌀Brotli Internals

Information, Physics, and Computation (Oxford Graduate Texts): Mézard, Marc, Montanari, Andrea: 8601410201722: Amazon.com: Books

amazon.com·1d

📐Compression Mathematics

Hard Homework!!!

pballew.blogspot.com·2d·

Discuss: www.blogger.com

🔤Morris-Pratt

TRUNAJOD: A text complexity library for text analysis built on spaCy — TRUNAJOD 0.1.1 documentation

trunajod20.readthedocs.io·13h

📝Parsing Grammars

🎲 The Automatic Grover Algorithm

lucamarx.com·1d

⚛️Quantum Algorithms

T3X.ORG nmhbasic/index

t3x.org·13h·

Discuss: Hacker News

Tanya Khovanova's Math Blog

blog.tanyakhovanova.com·2d

📐Mathematical Art

Anticipating Risk Before It Hits: Surbhi Gupta on the Future of Predictive Analytics

hackernoon.com·2d

robertjeffrey1236/Radial-Hyperbolic-Architecture-Prototype: Python prototype for efficient hierarchical computing in Poincaré disk. Features dual Φ spirals, fractal recursion, lazy loading, multi-point observers with portals, Φ percolation for Penrose shadows, atomic scaling with wormholes/phonons, and music substrate via JI harmonics. Simulates emergent patterns on bounded resources.

github.com·56m·

Discuss: Hacker News

💎Information Crystallography

From Zero to QED: An informal introduction to formality in Lean 4

sdiehl.github.io·1d

CHAMMI-75: pre-training multi-channel models with heterogeneous microscopy images

arxiv.org·2d

🧠Machine Learning

Keeping Probabilities Honest: The Jacobian Adjustment

towardsdatascience.com·2d

🎯Arithmetic Coding Theory

Intro to Python core, Epam Data Software Engineering training

dev.to·6h·

Discuss: DEV

🧬Functional Programming

Variationally correct operator learning: Reduced basis neural operator with a posteriori error estimation

arxiv.org·2d

🧠Machine Learning

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