Kubernetes Security: Best Practices to Protect Your Cluster
protsenko.dev·18h
❄️Nix Flakes
[P] Confused results while experimenting with attention modules on CLIP RN50 for image classification
reddit.com·2d·
Discuss: r/MachineLearning
🔍Parsers
On Accessibility Conformance, Design Systems, and CSS “Base” Units
css-tricks.com·5d
🔍Parsers
LKFMixer: Exploring Large Kernel Feature For Efficient Image Super-Resolution
arxiv.org·1d
🐫OCaml
Day 4 [August 11, 2025] Python Extensibility - More research/reading to follow in day 5. I barely scratched the surface.
dev.to·5d·
Discuss: DEV
🪶suckless
PASS: Probabilistic Agentic Supernet Sampling for Interpretable and Adaptive Chest X-Ray Reasoning
arxiv.org·4d
🔍Parsers
Efficient Image-to-Image Schr\"odinger Bridge for CT Field of View Extension
arxiv.org·1d
🕸️WASM
AIM: Amending Inherent Interpretability via Self-Supervised Masking
arxiv.org·1d
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CRAFT-GUI: Curriculum-Reinforced Agent For GUI Tasks
arxiv.org·1d
🕸️WASM
MoSSDA: A Semi-Supervised Domain Adaptation Framework for Multivariate Time-Series Classification using Momentum Encoder
arxiv.org·6d
🔍Parsers
Understanding Databases: A Comprehensive Guide to Types and Use Cases
dev.to·4d·
Discuss: DEV
0️⃣Zero-Copy
Working with GitHub API in Python
dev.to·4d·
Discuss: DEV
🕸️WASM
E-CaTCH: Event-Centric Cross-Modal Attention with Temporal Consistency and Class-Imbalance Handling for Misinformation Detection
arxiv.org·1d
🔍Parsers
Dataset Creation for Visual Entailment using Generative AI
arxiv.org·1d
🔍Parsers
Multi-Group Equivariant Augmentation for Reinforcement Learning in Robot Manipulation
arxiv.org·1d
🔍Parsers
Dynamic Knowledge Graph Augmentation for Zero-Shot Conversational Agent Adaptation
dev.to·4d·
Discuss: DEV
🔍Parsers
Automated Dynamic Characterization of SARS-CoV-2 Spike Protein Corona Dynamics via Hyperdimensional Feature Space Analysis
dev.to·3d·
Discuss: DEV
🐫OCaml
First Ask Then Answer: A Framework Design for AI Dialogue Based on Supplementary Questioning with Large Language Models
arxiv.org·6d
🔍Parsers
Predictive Analytics for NBA Finals Player Performance Using Multi-Modal Data Fusion and Hierarchical Bayesian Modeling
dev.to·4d·
Discuss: DEV
🔍Parsers
NVIDIA's Granary dataset is remarkable but it exposes a fundamental misunderstanding about production voice AI architecture.
dev.to·20h·
Discuss: DEV
🕸️WASM