A Rant | Hendrik Erz
hendrik-erz.de·2d
📊DataFrame Types
Front end-only live semantic search with transformers.js
do-me.github.io·20h·
Discuss: Hacker News
💬Interactive REPLs
How to waste CPU like a Professional
mostlynerdless.de·3d·
Discuss: Hacker News, r/programming
⚡Interpreter Optimization
Ts-ignore is almost always the worst option
evanhahn.com·1d·
Discuss: Lobsters, Hacker News, r/programming
🛡️Error Handling
"Causal" is like "error term"
statmodeling.stat.columbia.edu·1d·
Discuss: Hacker News
✨Effect Inference
Efficient Sliced Wasserstein Distance Computation via Adaptive Bayesian Optimization
arxiv.org·1h
🗺️Region Inference
MoRoVoc: A Large Dataset for Geographical Variation Identification of the Spoken Romanian Language
arxiv.org·1h
📊LR Parsing
An Optimal Control Interpretation of Augmented Distributed Optimization Algorithms
arxiv.org·1h
📡Async Channels
Self-Supervised Learning of Graph Representations for Network Intrusion Detection
arxiv.org·1h
🕸️Tarjan Algorithms
GRID: Graph-based Reasoning for Intervention and Discovery in Built Environments
arxiv.org·1h
✨Effect Inference
MaskVCT: Masked Voice Codec Transformer for Zero-Shot Voice Conversion With Increased Controllability via Multiple Guidances
arxiv.org·1h
🔄Binary Translation
PRISM: Precision-Recall Informed Data-Free Knowledge Distillation via Generative Diffusion
arxiv.org·1h
🔬Nanopasses
Why You Need to Learn Functional Programming: And What It Is
dev.to·3d·
Discuss: DEV
🚂Error Propagation
FG-Attn: Leveraging Fine-Grained Sparsity In Diffusion Transformers
arxiv.org·1h
🗺️Region Polymorphism
Evaluating CxG Generalisation in LLMs via Construction-Based NLI Fine Tuning
arxiv.org·1h
🪜Recursive Descent
Causal Representation Learning from Multimodal Clinical Records under Non-Random Modality Missingness
arxiv.org·1h
🌱Minimal ML
Building E-commerce: Smart Shopping Assistant on GKE
dev.to·12h·
Discuss: DEV
📋JSON Parsing
Python Variables: A Complete Beginner's Guide with Examples & Best Practices
dev.to·2d·
Discuss: DEV
🎭Racket
Bayesian scaling laws for in-context learning
arxiv.org·1h
🪜Recursive Descent
Day 5 of Complete JavaScript in 17 days | Visual Series📚✨
dev.to·12h·
Discuss: DEV
📝Rope Editors