3D Line Drawings
amritkwatra.com·4d·
Discuss: Hacker News
🐫OCaml
Btrfs Sees Urgent Fix Following Recent Reports Of Log Tree Corruption
phoronix.com·3d·
Discuss: Hacker News
❄️Nix Flakes
tonsky/FiraCode
github.com·6d
🐫OCaml
Maximal Extractable Value: How to take advantage—and how to protect from it
hackernoon.com·3d
0️⃣Zero-Copy
Linux 6.17 Optimizes khugepaged For ARM64 With Huge "16x" Impact For One Code Path
phoronix.com·3d
0️⃣Zero-Copy
Moving Forward: Builders Are Proving What’s Possible With CARV’s AI Stack
hackernoon.com·20h
🪶suckless
Uncertainty-aware Predict-Then-Optimize Framework for Equitable Post-Disaster Power Restoration
arxiv.org·1d
λFunctional Programming
A Novel Multimodal Framework for Early Detection of Alzheimers Disease Using Deep Learning
arxiv.org·3d
🔍Parsers
Looking to Connect with Devs/Builders to Start Something Together
dev.to·3d·
Discuss: DEV
🪶suckless
Tactile Comfort: Lowering Heart Rate Through Interactions
arxiv.org·2d
λFunctional Programming
Unveiling the Landscape of Clinical Depression Assessment: From Behavioral Signatures to Psychiatric Reasoning
arxiv.org·2d
λFunctional Programming
The Relative Instability of Model Comparison with Cross-validation
arxiv.org·2d
λFunctional Programming
HAMoBE: Hierarchical and Adaptive Mixture of Biometric Experts for Video-based Person ReID
arxiv.org·1d
λFunctional Programming
Automated Workflow Optimization via Hybrid Monte Carlo & Dynamic Bayesian Networks
dev.to·2d·
Discuss: DEV
📈Optimization
OpenAI releases a free GPT model that can run right on your laptop
theverge.com·3d·
Discuss: r/programare
🕸️WASM
[D] reflecting on 8 years of model inference
reddit.com·5d·
Discuss: r/MachineLearning
λFunctional Programming
Actionable Counterfactual Explanations Using Bayesian Networks and Path Planning with Applications to Environmental Quality Improvement
arxiv.org·4d
λFunctional Programming
Juris.js: The Thousand Masters Architecture That AI Can't Even Figure Out Where to Start
dev.to·4d·
Discuss: DEV
🪶suckless
Oldie but Goodie: Re-illuminating Label Propagation on Graphs with Partially Observed Features
arxiv.org·4d
λFunctional Programming
Minimal Convolutional RNNs Accelerate Spatiotemporal Learning
arxiv.org·3d
λFunctional Programming