Surrealdb
surrealdb.com·17h·
Discuss: Hacker News
🏠Homelab Archaeology
Statically checking Python dicts for completeness
lukeplant.me.uk·1d
✅Format Verification
A brief introduction to MCP server performance optimization
catchmetrics.io·5h·
Discuss: Hacker News
👁️Observatory Systems
Be Aware of News Mirages
hackernoon.com·5h
📰Content Curation
Many Ways Up the Mountain: The Scrappy, Creative World of Open Source
exposingtheinvisible.org·9h
🔓Hacking
A Simple but Accurate Approximation for Multivariate Gaussian Rate-Distortion Function and Its Application in Maximal Coding Rate Reduction
arxiv.org·4d
🧠Neural Compression
Test whether a large integer is a square
johndcook.com·1d
📐Interval Arithmetic
Pack Your Go Binary: Embedding Files Made Simple
dev.to·1d·
Discuss: DEV
🔢Binary Formats
WWDC 2025 - What’s new in BNNS Graph
dev.to·19h·
Discuss: DEV
📝ABNF Parsing
nimbme – Nim bare-metal environment
github.com·1d·
Discuss: Hacker News
🎯Emulation Accuracy
Stochastic Gradient Descent for Nonparametric Regression
arxiv.org·4d
🧠Machine Learning
A generalized neural tangent kernel for surrogate gradient learning
arxiv.org·4d
🧠Machine Learning
🚀 Production-Ready: 6 Advanced Fixes for Your LLMService Class 🚀
dev.to·1d·
Discuss: DEV
💻Local LLMs
Machine Learning Fundamentals: adam optimizer tutorial
dev.to·1d·
Discuss: DEV
📊Feed Optimization
HIDE and Seek: Detecting Hallucinations in Language Models via Decoupled Representations
arxiv.org·4d
👂Psychoacoustic Coding
A Deep Learning Based Method for Fast Registration of Cardiac Magnetic Resonance Images
arxiv.org·3d
🌀Riemannian Computing
Unlocking Insights Addressing Alcohol Inference Mismatch through Database-Narrative Alignment
arxiv.org·3d
🔗Constraint Handling
Optimal Parameter Design for Power Electronic Converters Using a Probabilistic Learning-Based Stochastic Surrogate Model
arxiv.org·1d
⚙️Tape Engineering
Towards Deeper GCNs: Alleviating Over-smoothing via Iterative Training and Fine-tuning
arxiv.org·4d
📊Learned Metrics
Machine Learning Fundamentals: adam optimizer
dev.to·2d·
Discuss: DEV
📊Quantization