From implementing KNN, PCA, and clustering to applying deep learning and scientific tuning, these resources show how to build, refine, and optimize machine learning models. They combine hands-on ...

Experimental - This project is still in development, and not ready for the prime time. A minimal, secure Python interpreter written in Rust for use by AI. Monty avoids the cost, latency, complexity ...

Demo video: https://github.com/user-attachments/assets/95c2114e-e33a-46ed-933a-3a2ec153f6ca This is the official code for MatSpray, a framework for fusing 2D material ...

Abstract: K-Nearest Neighbors is a widely used algorithm due to its simplicity and efficacity. However, KNN suffers from many drawbacks, such as it does not work well with datasets with a high number ...