The Nature of Lisp, Code Generation and Wieldable Programming Power
pankajpipada.com·1d·
Discuss: Hacker News, r/programming
🔗Lisp
Pure UI
rauchg.com·1d·
Discuss: Hacker News
🎨Nordic Design
The collective waste caused by poor documentation
shanrauf.com·2d·
Discuss: Hacker News
📦Deflate
Predicting Faulty Validations in Cluster Issue Detection: A ML Approach - DevConf.CZ 2025
youtube.com·19h
📏Code Metrics
Unlasting: Unpaired Single-Cell Multi-Perturbation Estimation by Dual Conditional Diffusion Implicit Bridges
arxiv.org·16m
🌀Riemannian Computing
Drift-Adaptive Slicing-Based Resource Management for Cooperative ISAC Networks
arxiv.org·16m
🕸️Network Topology
Entelligence vs CodeRabbit
dev.to·15h·
Discuss: DEV
🌳Incremental Parsing
Solver Performance of Accelerated MoM for Connected Arrays
arxiv.org·1d
📐Linear Algebra
Machine Learning Fundamentals: active learning tutorial
dev.to·1d·
Discuss: DEV
🎛️Feed Filtering
Trends in Machine Learning: 2025 Industry Outlook and Technical Shifts
dev.to·1d·
Discuss: DEV
🎵Audio ML
Our Coding Adventure: Using LLMs to Personalise the Narrative of a Tangible Programming Robot for Preschoolers
arxiv.org·16m
🎙️Whisper
Lessons from LangChain and Slack and MCP Integration
medium.com·2d·
Discuss: Hacker News
🔗Topological Sorting
Treasure Case Sharing of HarmonyOS 5 Development — Practical Tips for Application Architecture
dev.to·1d·
Discuss: DEV
🔌Interface Evolution
How to Make Large-Scale Experiments Smarter and Cheaper with AI-Driven Proofs
dev.to·1d·
Discuss: DEV
✓Automated Theorem Proving
How AI Helped Me Build a CRM Integration 60% Faster: A Real Vue.js + CouchDB Case Study
dev.to·8h·
Discuss: DEV
🌀Brotli Internals
TITAN: Query-Token based Domain Adaptive Adversarial Learning
arxiv.org·16m
📊Learned Metrics
Recall and Refine: A Simple but Effective Source-free Open-set Domain Adaptation Framework
arxiv.org·16m
💻Local LLMs
ColumnTransformer and Pipelines in Scikit-Learn: Clean, Scalable, and Powerful Preprocessing
dev.to·8h·
Discuss: DEV
🌊Streaming Compression
Building Scalable Web Applications with Advanced JavaScript Patterns
dev.to·1d·
Discuss: DEV
🛠Language Design
SRFT: A Single-Stage Method with Supervised and Reinforcement Fine-Tuning for Reasoning
arxiv.org·2d
💻Local LLMs