How to Deploy Whisker and Goldmane in Manifest Only Calico Setups
tigera.io·1d
🔓Open Source Software
Three important things to get right for successful AI Coding
kau.sh·4d
⚡Proof Automation
A Global Mining Dataset
tech.marksblogg.com·3d·
Discuss: Hacker News
📦METS Containers
Tips for C Programming from Nic Barker
hackaday.com·1d
🔩Systems Programming
JavaScript Library Runs Machine Learning Models in Browser
thenewstack.io·1d
🏴󠁧󠁢󠁳󠁣󠁴󠁿Scottish Computing
Show HN: Open-source UI for running multiple coding agents
github.com·1d·
Discuss: Hacker News
🐚Nordic Shell
Getting into the Virtual Environments: Dependency Isolation Like a Pro
dev.to·11h·
Discuss: DEV
🔗Dependency Resolution
Three-dimensional Integrated Guidance and Control for Leader-Follower Flexible Formation of Fixed Wing UAVs
arxiv.org·17h
🔲Cellular Automata
"Grillz on a hijabi": Intersectional Identities in Fostering Critical AI Literacy
arxiv.org·17h
🏛Digital humanities
SocialNLI: A Dialogue-Centric Social Inference Dataset
arxiv.org·1d
📝ABNF Parsing
Carbon Emission Prediction in China Considering New Quality Productive Forces Using a Deep & Corss Learning Modeling Framework
arxiv.org·1d
🧠Machine Learning
Python 3.14: Cool New Features for You to Try
realpython.com·1d·
Discuss: Hacker News
🌳Incremental Parsing
Building Smart Workflows with the Microsoft Agent Framework-Part -I
dev.to·1d·
Discuss: DEV
🌊Stream Processing
Evaluating OCR performance on food packaging labels in South Africa
arxiv.org·2d
📄OCR
Teaching LLM to be Persuasive: Reward-Enhanced Policy Optimization for Alignment frm Heterogeneous Rewards
arxiv.org·2d
🔍Information Retrieval
Scalable In-context Ranking with Generative Models
arxiv.org·1d·
Discuss: Hacker News
⚖️Feed Ranking
QDeepGR4J: Quantile-based ensemble of deep learning and GR4J hybrid rainfall-runoff models for extreme flow prediction with uncertainty quantification
arxiv.org·1d
🧠Machine Learning
Dynamic Functional Connectivity Features for Brain State Classification: Insights from the Human Connectome Project
arxiv.org·1d
🧠Machine Learning
Attention Sinks and Compression Valleys in LLMs are Two Sides of the Same Coin
arxiv.org·17h
🧠Neural Compression
Making Machines Sound Sarcastic: LLM-Enhanced and Retrieval-Guided Sarcastic Speech Synthesis
arxiv.org·17h
🎙️Whisper