AI-Lab Framework Simplifies Classical AI Algorithm Research
TL;DR. A new open-source Python framework, AI-Lab, provides modular implementations and interactive visualizers for classical AI algorithms. - The framework offers pluggable solver engines and automated benchmarking for search, optimization, and adversarial game algorithms. - It targets visual learners, researchers, and developers to facilitate hands-on learning and experimentation. - Interactive Pygame visualizers support dynamic window resizing across 18 included AI demos.
- AI-Lab offers a highly modular, object-oriented framework for classical AI algorithms in Python.
- It includes unified abstractions, pluggable solver engines, and automated benchmarking pipelines.
- Interactive Pygame visualizers enhance understanding of search, optimization, and constraint satisfaction problems.
- The framework supports 18 AI demos, including A*, Genetic Algorithms, Minimax, and MCTS, with interactive CLI access.