#Algorithm

This project reimagines the classic Snake game through advanced AI-driven algorithms and performance metrics, transitioning from C++ to Python with an intuitive interface. It enhances gameplay by optimizing the snake's length and movement using solvers such as Hamilton, Greedy, and experimental DQN, evaluated through average length and steps. Designed for AI practitioners, the project supports easy integration with Python 3.6+ and Tkinter, with comprehensive unit testing to ensure durability. Explore AI's impact on strategic gaming applications.

Explore a wide collection of algorithm templates vital for competitive programming, categorized into data structures, strings, mathematics, and more. Each template offers a concept overview, annotated code, and related problems, aiding in practice and understanding. Enhance your skills with resources covering topics from graph theory to geometry, and explore curated problems like sliding window and binary search to refine algorithmic thinking and efficiency in contests.

InterpretDL provides diverse algorithms for model interpretation like LIME and Grad-CAM, aiding in the analysis of deep learning models using PaddlePaddle. The toolkit supports research and development of new interpretation methods, with comprehensive documentation and tutorials available.