🪶 suckless

Minimalist software, C programming, Unix philosophy, Efficiency

Reverse engineering the mysterious Up-Data Link Test Set from Apollo
righto.com·1d·
Discuss: Lobsters, Hacker News
🕸️WASM
A Tour of Microsoft's Mac Lab
davidweiss.blogspot.com·2d·
Discuss: Lobsters, Hacker News
🕸️WASM
Retirement.exe
hackernoon.com·13h
🏠Home Manager
Mean, Median and Mode in Statistics
dev.to·1h·
Discuss: DEV
λFunctional Programming
Proctoring – My Latest Side Project to Catch Cheaters (Gently)
dev.to·4h·
Discuss: DEV
λFunctional Programming
Most Blockchains Talk of Financial Inclusion. What Happens When You Actually Try It?
hackernoon.com·23h
λFunctional Programming
Terraform Opened My Eyes
dev.to·1d·
Discuss: DEV
🏠Home Manager
Collaborative Distillation Strategies for Parameter-Efficient Language Model Deployment
arxiv.org·14h
🔍Parsers
The Other Mind: How Language Models Exhibit Human Temporal Cognition
arxiv.org·14h
🐫OCaml
AI-Powered Catalyst Dashboard: How Dipesh Kashiv Revived a $3.2B Networking Business
hackernoon.com·2h
🕸️WASM
First deliverable: Building with Bolt - WLH Challenge
dev.to·1h·
Discuss: DEV
λFunctional Programming
Kolmogorov Arnold Networks (KANs) for Imbalanced Data -- An Empirical Perspective
arxiv.org·1d
λFunctional Programming
A Beginner's Guide to Getting Started with Runnables in Langchain.
dev.to·3d·
Discuss: DEV
λFunctional Programming
Give your AI agent superpowers with MCP
dev.to·1d·
Discuss: DEV
🕸️WASM
Dual-Numbers Reverse AD for Functional Array Languages
arxiv.org·4d
λFunctional Programming
FollowUpBot: An LLM-Based Conversational Robot for Automatic Postoperative Follow-up
arxiv.org·14h
λFunctional Programming
Generative Distribution Distillation
arxiv.org·14h
🔍Parsers
Transformer-based Deep Learning Model for Joint Routing and Scheduling with Varying Electric Vehicle Numbers
arxiv.org·14h
λFunctional Programming
Enhancing Generalization in PPG-Based Emotion Measurement with a CNN-TCN-LSTM Model
arxiv.org·14h
λFunctional Programming
Data Mixing Agent: Learning to Re-weight Domains for Continual Pre-training
arxiv.org·14h
🔍Parsers