📐 Linear Algebra - gautam6599123

🔥PyTorch Code

github.com··r/rust

What an LLM Actually Does With Your Prompt First

🤖AI

siliconopera.com·

Defeat the Heap: Zero-Copy Data Movement in AXI4MLIR

🔷Abstract Algebra Academic

arxiv.org··Hacker News

Analysis of Metastable States in the Transformer Activation Space

🤖Transformers

lesswrong.com·

A Fast, Configurable and DSP-Free Hardware Implementation of FrodoKEM

🔥PyTorch

eprint.iacr.org·

Local density of states distribution and multifractal eigenvectors of weighted random networks via the cavity approach

🕸️Graph Theory Academic

arxiv.org·

Single-photon scattering in a dissipative superconducting-qubit--SSH lattice hybrid

🌀Hamiltonian Mechanics Academic

arxiv.org·

Why JAX Is a Much Better Backend for Quantum Circuit Simulation Than PyTorch

∂Automatic Differentiation Code

github.com

··DEV

Solution of the Equation-of-Motion Phonon Method eigenvalue problems on the D-Wave quantum annealer

🌀Hamiltonian Mechanics Academic

arxiv.org·

MUVERA: Multi-Vector Retrieval via Fixed Dimensional Encodings

∂Automatic Differentiation Academic

arxiv.org·

hanxiao/omni-macos: Native macOS semantic search over your local files - text, images, audio, video in one vector space, on-device on Apple silicon.

🤖AI Code

github.com··Hacker News

Spectral decomposition of $(\star,\epsilon_1,\epsilon_2)$-structured matrix polynomials with arbitrary degree and its applications

🔢Numerical Methods Academic

arxiv.org·

The Two Dimensional Dynamical Bulk Boundary Correspondence: Beyond Two Band Models

🌀Hamiltonian Mechanics Academic

arxiv.org·

Optimal Stochastic Krylov based Techniques for Large- Scale Log-Determinant Estimation

🔢Numerical Methods Academic

arxiv.org·

markusheimerl/gpt: A generative pretrained transformer implementation

🤖Transformers Code

github.com··Hacker News

SigmaScale: LLM Compression with SVD-based Low-Rank Decomposition and Learned Scaling Matrices

📊Optimization Academic

arxiv.org·

ml-from-scratch-book/code: Companion code for Machine Learning From Scratch — 10 core ML algorithms built from scratch with NumPy, compared with Scikit-learn and PyTorch.

📈Statistical Learning Code

github.com··Hacker News

Could your Swedish work permit be denied for 'employer deficiencies'?

Gated DeltaNet, From First Principles

Stochastic Parrots & Subturing Minds: THURSDAY INFORMATION SOCIOLOGY

I stopped using most of Rust’s advanced features for my ML library

What an LLM Actually Does With Your Prompt First

Defeat the Heap: Zero-Copy Data Movement in AXI4MLIR

Analysis of Metastable States in the Transformer Activation Space

A Fast, Configurable and DSP-Free Hardware Implementation of FrodoKEM

Local density of states distribution and multifractal eigenvectors of weighted random networks via the cavity approach

Single-photon scattering in a dissipative superconducting-qubit--SSH lattice hybrid

Why JAX Is a Much Better Backend for Quantum Circuit Simulation Than PyTorch

Solution of the Equation-of-Motion Phonon Method eigenvalue problems on the D-Wave quantum annealer

MUVERA: Multi-Vector Retrieval via Fixed Dimensional Encodings

hanxiao/omni-macos: Native macOS semantic search over your local files - text, images, audio, video in one vector space, on-device on Apple silicon.

Spectral decomposition of $(\star,\epsilon_1,\epsilon_2)$-structured matrix polynomials with arbitrary degree and its applications

The Two Dimensional Dynamical Bulk Boundary Correspondence: Beyond Two Band Models

Optimal Stochastic Krylov based Techniques for Large- Scale Log-Determinant Estimation

markusheimerl/gpt: A generative pretrained transformer implementation

SigmaScale: LLM Compression with SVD-based Low-Rank Decomposition and Learned Scaling Matrices

ml-from-scratch-book/code: Companion code for Machine Learning From Scratch — 10 core ML algorithms built from scratch with NumPy, compared with Scikit-learn and PyTorch.