Code and data used to create the examples in "Evidence-based Software Engineering based on the publicly available data"
- cognitive-capitalism
- cognitive-science
- economic-models
- ecosystem-modeling
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Code and data used to create the examples in "Evidence-based Software Engineering based on the publicly available data"
Make Codex and Claude Code subscriptions go further: a local model router that gives routine agent work to economical models and keeps your strongest model for the hard parts.
A set of Terraform modules that are designed to deploy NixOS [maintainer=@adrian-gierakowski]
Pretty logger for Electron apps
Real-time generative rendering for interactive worlds, from any visual reference.
Codable extensions using Swift Macro
Scikit-learn for Recursive Self-improvement (RSI). A modular framework for recursive harness evolution.
Simple positioning for Active Record models.
Filesystem-based module system for Nix [maintainer=@figsoda]
Modules and Multi-Tenancy in ASP.NET samples using the Orchard Core framework
Very simple SAML 2.0 consumer module for ASP.NET/C#
Reproduction of SuperMimic (arXiv:2610.28480): learned differentiable world model + BPTT policy for G1 humanoid motion tracking, on mjlab/MuJoCo Warp
Reference mapping for single-cell genomics
Dead simple, super fast, zero allocation logger for Golang
CMake modules to help use sanitizers
VBA Standard Library - A Collection of libraries to form a common standard layer for modern VBA applications.
The Universal Device Detection library will parse any User Agent and detect the browser, operating system, device used (desktop, tablet, mobile, tv, cars, console, etc.), brand and model.
Modified edition of cuckoo
Text mode diagrams using UTF-8 characters and fancy colors
Generate scoped sequential IDs for ActiveRecord models
CMake: config mode of find_package command (examples)
Developed to power Conveyal's web-based interface for scenario planning and land-use/transport accessibility analysis, R5 is our routing engine for multimodal (transit/bike/walk/car) networks with a particular focus on public transit
Local inference for diffusion language models (LLaDA, Dream), written in Mojo
Modular application for database CRUD with Blazor. Uses an in-memory database and features dummy data generation and data pagination.