📊 ML - vladgrigorian · Scour

Logistic Regression, Average Marginal Effects, and the Linear Probability Model - Part II: Coefficients and AMEs of nested models

elff.eu·13h

ML-LIB: Machine Learning Library Proposed For The Linux Kernel

phoronix.com·8h·

Discuss: Hacker News

A logical re-conception of neural networks: Hamiltonian bitwise part-whole architecture

arxiv.org·23h

The Little Book of Linear Algebra

little-book-of.github.io·15h

Linear Regression: An Overview

dev.to·13h·

Discuss: DEV

Understanding LLM Inference Engines: Inside Nano-vLLM (Part 2)

neutree.ai·14h·

Discuss: Hacker News

The Lakers are lining up for a Giannis chase, but the real plan must be bigger

nytimes.com·6h

[RFC PATCH v1 0/4] Machine Learning (ML) library in Linux kernel

lore.kernel.org·8h·

Discuss: Lobsters, Hacker News

A Large-Scale Peripheral Blood Cell Dataset for Automated Hematological Analysis

nature.com·13h

In (highly contingent!) defense of interpretability-in-the-loop ML training

lesswrong.com·11h

[P]Seeing models work is so satisfying

reddit.com·2h·

Discuss: r/MachineLearning

Magic-MM-Embedding: Towards Visual-Token-Efficient Universal Multimodal Embedding with MLLMs

arxiv.org·23h

Hybrid Graph‑Conformer Fingerprint with Attention‑Based Neural Message Passing for Accurate Prediction of Solubility in Hydrophobic Drug Candidates

freederia.com·18h

A generative pen-trained transformer

blog.adafruit.com·11h

Private Data Space Model

privatedata.space·1d

lib.rs·2d

Text classification with Python 3.14's zstd module • Max Halford

maxhalford.github.io·1d·

Discuss: Lobsters, Hacker News

Mechanistic Interpretability: Peeking Inside an LLM

towardsdatascience.com·1d

Writing an LLM from scratch, part 32d -- Interventions: adding attention bias

gilesthomas.com·4h·

Discuss: Hacker News

Thirteen Constants from Zero Free Parameters? What Did I Find?

quantummarmelade.substack.com·21h·

Discuss: Substack

Loading more...