Multiples and powers mod 1
johndcook.com·2h
🎯Arithmetic Coding Theory
About our proof-of-concept LLM tool for navigating Debian's manpages
gwolf.org·5h
🦀Rust Macros
Reactive Java Operator-fusion (2016)
akarnokd.blogspot.com·21h·
Discuss: Hacker News
✨Algebraic Effects
Life Update – On Health
jiha-kim.github.io·2h·
Discuss: Hacker News
⬜Minimalism
ClaritySpeech: Dementia Obfuscation in Speech
arxiv.org·2d
💿FLAC Archaeology
The Impact of Prompt Bloat on LLM Output Quality
mlops.community·5h·
Discuss: Hacker News
✨Effect Handlers
Machine Learning Fundamentals: dimensionality reduction example
dev.to·1d·
Discuss: DEV
📐Vector Dimensionality
Measuring and predicting visual fidelity
arxiv.org·12h
🌈Color Science
HTML to PDF Conversion using Modern .NET Core Frameworks: The Ultimate Guide
hackernoon.com·9h
📄PDF Internals
A Multimodal Data Fusion Generative Adversarial Network for Real Time Underwater Sound Speed Field Construction
arxiv.org·12h
🎧Vorbis Encoding
Discrete Differential Principle for Continuous Smooth Function Representation
arxiv.org·2d
🌀Differential Geometry
[R][D] Interpretability as a Side Effect? Are Activation Functions Biasing Your Models?
reddit.com·1d·
Discuss: r/MachineLearning
📊Learned Metrics
JSQA: Speech Quality Assessment with Perceptually-Inspired Contrastive Pretraining Based on JND Audio Pairs
arxiv.org·12h
🎧Learned Audio
Google Wifi Pro: Glitching from Root to EL3: Part 1 - Characterization
raelize.com·1d·
Discuss: Lobsters, Hacker News
🛡️eBPF Security
Context-Aware Regularization with Markovian Integration for Attention-Based Nucleotide Analysis
arxiv.org·2d
🧠Machine Learning
How to Save a Python List to a File
dev.to·22h·
Discuss: DEV
📝Text Compression
Class-Proportional Coreset Selection for Difficulty-Separable Data
arxiv.org·1d
🧠Machine Learning
Day 4 of Learning System Design: Mastering Consistent Hashing
dev.to·4h·
Discuss: DEV
🌐Distributed Hash
The Role of Rank in Mismatched Low-Rank Symmetric Matrix Estimation
arxiv.org·12h
📐Linear Algebra
Title: Activation Functions in Machine Learning: Why They Matter More Than You Think
dev.to·10h·
Discuss: DEV
🧠Machine Learning