Chebyshev Polynomials are Ferraris for Numerical Programmers
leetarxiv.substack.com·1d·
🔢NumPy
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Weighted Quantile Weirdness and Bugs
practicalsignificance.com·2d·
Discuss: Hacker News
📊Data Science
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React for Datasets
usetorque.dev·2d·
Discuss: Hacker News
🎨Design Systems
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The Best CNC Tools to Improve Your Workshop Performance
dev.to·1d·
Discuss: DEV
🖨️3D Printing
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Owning the Stack: Why IP Retention Is Mandatory for Coding ASI
autohand.ai·2d·
Discuss: Hacker News
🎭Program Synthesis
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A Machine Learning Approach for Predicting Health Scores from Lifestyle Data
pub.towardsai.net·2d
🧠Machine Learning
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Adaptive Contrastive Learning via Dynamic Feature Masking for Fine-Grained Attribute Recognition
dev.to·5h·
Discuss: DEV
👁️Computer Vision
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LLMs: The Binge Worthy Series(Part 2)
pub.towardsai.net·6h
📝Parsing
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Tech With Tim: OpenAI’s New Agent Builder is Insane - Full Tutorial
dev.to·2h·
Discuss: DEV
💬Prompt Engineering
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The compute rethink: Scaling AI where data lives, at the edge
venturebeat.com·3d
📱Edge AI
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Steering the Flow: Network Control Through Mathematical Optimization
dev.to·2d·
Discuss: DEV
🕸️Graph Theory
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How I built a game engine using MVI in Kotlin and avoided getting fired
nek12.dev·2d·
Discuss: r/programming
🎮Game Engines
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The Evergreen AI & Tech Roundup: Navigating Trends for Credibility and Career Growth (2025-11-08)
dev.to·1d·
Discuss: DEV
💬Prompt Engineering
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Canonical's Secure Starlark in Go
github.com·2d·
Discuss: Hacker News
🐹golang
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Unveiling Deep Semantic Uncertainty Perception for Language-Anchored Multi-modal Vision-Brain Alignment
arxiv.org·2d
👁️Computer Vision
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Minimalistic CLAUDE.md for new projects: Follow SOLID, DRY, YAGNI, KISS
reddit.com·4d·
Discuss: r/ClaudeAI
🔨Incremental Compilation
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Process Bottleneck Breakthrough: AI-Powered Outcome Prediction
dev.to·4d·
Discuss: DEV
🚀Performance
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AI-Driven Optimization of Zeolite Synthesis via Reinforcement Learning & Multi-Objective Bayesian Optimization
dev.to·2d·
Discuss: DEV
💬Prompt Engineering
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Automated Vacuum Energy Fluctuations Analysis via Adaptive Bayesian Sampling
dev.to·1d·
Discuss: DEV
🚀MLOps
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