GitHub

MLIP: Machine Learning Interatomic Potentials

mlip is a Python library for training and deploying Machine Learning Interatomic Potentials (MLIP) written in JAX. It provides the following functionality: 🎙️ For further information on the design ...
IEEE

Damage Identification of Thermal Protection Tiles Based on an Optimizable SVM Algorithm and Temperature Monitoring

Abstract: During the service of reusable launch vehicles, thermal protection tiles are easily damaged, which in turn threatens flight safety. However, monitoring the back wall temperature of thermal ...
Hosted on MSN

Mastering linear algebra with Python for ML

Why it matters: Linear algebra underpins machine learning, enabling efficient data representation, transformation, and optimization for algorithms like regression, PCA, and neural networks. Python ...
IEEE

Performance Analysis of Support Vector Machine (SVM) Model Through Parameter Optimization with Genetic Algorithm (GA) in Chronic Kidney Disease Classification

Abstract: This study uses hyperparameter optimization to improve accuracy in classifying CKD or chronic kidney disease with the use of a Support Vector Machine algorithm or SVM. SVM is combined with ...