Awesome List Updates on May 01, 2025
4 awesome lists updated today.
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1. Awesome Angular
Integrations / Google Developer Experts
- Bloomreach Angular SDK (⭐18) - Bloomreach Angular SDK provides simplified headless integration with Bloomreach Content for Angular-based applications.
Router / Google Developer Experts
- ngx-multi-level-push-menu (⭐5) - A modern, accessible Angular component for responsive multi-level push menus with extensive customization options.
2. Awesome Ironsworn
Hacks and homebrew / Ironsworn
- Hogsworn - Ironsworn hack to play as a student at Hogwarts
3. Magictools
Graphics / Modeling
- 🆓 Canvascript (⭐87) - A tool for creating HTML canvas graphics without writing code.
4. Awesome Agi Cocosci
Problem Solving / Human-Level Problem Solving
- Rapid trail-and-error learning with simulation supports flexible tool use and physical reasoning. - Proceedings of the National Academy of Sciences, 2020. [All Versions]. [Project]. [Appendix]. Many animals, and an increasing number of artificial agents, display sophisticated capabilities to perceive and manipulate objects. But human beings remain distinctive in their capacity for flexible, creative tool use—using objects in new ways to act on the world, achieve a goal, or solve a problem. To study this type of general physical problem solving, this work introduces the Virtual Tools game. In this game, people solve a large range of challenging physical puzzles in just a handful of attempts. This work proposes that the flexibility of human physical problem solving rests on an ability to imagine the effects of hypothesized actions, while the efficiency of human search arises from rich action priors which are updated via observations of the world. The authors instantiate these components in the “sample, simulate, update” (SSUP) model and show that it captures human performance across 30 levels of the Virtual Tools game. More broadly, this model provides a mechanism for explaining how people condense general physical knowledge into actionable, task-specific plans to achieve flexible and efficient physical problem solving.
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