Show HN: I made ShipOrPay.com a Stop procrastination tool I build in my weekends
shiporpay.com·1d·
Discuss: Hacker News
📦Deflate
Unlock deeper insights with the new Python client library for Data Commons
developers.googleblog.com·1d
🏷️Metadata Standards
Show HN: Requests-Based Google Maps Scraper
apify.com·2d·
Discuss: Hacker News
🔍BitFunnel
Using Generative AI to Strengthen & Accelerate Learning • Barbara Oakley • GOTO 2024
youtube.com·14h
🔲Cellular Automata
Gemini CLI's Polarizing Release on Hacker News – A Visual Analysis
kian.prose.sh·1d·
Discuss: Hacker News
🔓Open Source Software
A Cheap Smart Plug To Block Distractions
hackaday.com·18h
🏠Home Automation
Building Real-Time SMS, WhatsApp and Slack Alerts
thenewstack.io·2d
🌊Stream Processing
Kafka Fundamentals: kafka retention.ms
dev.to·2d·
Discuss: DEV
🌊Streaming Systems
Machine Learning Fundamentals: accuracy project
dev.to·4d·
Discuss: DEV
✅Archive Validation
Meet the Bloggers Making Full-Time Incomes Using Just Prompts and Python – Suhaib Bin Younis
dev.to·19h·
Discuss: DEV
⚖️Feed Ranking
How I Built a Real-Time News Feed for My Team Using apitube.io (And Why I Recommend It)
dev.to·2d·
Discuss: DEV
📡RSS Readers
Detecting Machine-Generated Texts: Not Just "AI vs Humans" and Explainability is Complicated
arxiv.org·2d
🧮Kolmogorov Complexity
Balancing Privacy and Utility in Correlated Data: A Study of Bayesian Differential Privacy
arxiv.org·22h
🛡️Differential Privacy
Elucidated Rolling Diffusion Models for Probabilistic Weather Forecasting
arxiv.org·1d
⚡Incremental Computation
FedNAMs: Performing Interpretability Analysis in Federated Learning Context
arxiv.org·3d
🧠Machine Learning
CORONA: A Coarse-to-Fine Framework for Graph-based Recommendation with Large Language Models
arxiv.org·3d
🔍Information Retrieval
Lightweight Target-Speaker-Based Overlap Transcription for Practical Streaming ASR
arxiv.org·1d
🎙️Whisper
From Rows to Yields: How Foundation Models for Tabular Data Simplify Crop Yield Prediction
arxiv.org·2d
📊Quantization
Predict Like a Leader Without a Crystal Ball
dev.to·2d·
Discuss: DEV
📊Feed Optimization
Unveiling the Magic of Variational Autoencoders: Learning to Generate from Data
dev.to·1d·
Discuss: DEV
🧠Neural Compression