Official PyTorch implementation of "Dataset Condensation via Efficient Synthetic-Data Parameterization", published at ICML'22 Abstract The great success of machine learning with massive amounts of ...

An official implementation of "Learning Memory-guided Normality for Anomaly Detection" (CVPR 2020) in PyTorch. - cvlab-yonsei/MNAD ...

The prediction of student performance is one of the most important topics in educational data mining. The use of artificial neural networks in a learning environment is considered to be an effective ...

Regression is one of the most powerful statistical tools for finding relationships in data. Python makes it easy, and it's much more flexible than a spreadsheet.

The goal of this study is to evaluate the accuracy of novel Artificial Neural Network (ANN) machine learning models to the K-mean method in identifying Lyme disease in humans. Materials and Methods: ...

Here, we describe an efficient implementation of Gaussian process regression (GPR) acceleration of the minimum mode following method where a dimer is used to estimate the lowest eigenmode of the ...