A benchmark set for TVM. We mainly target the applications that are NOT used for deep learning.
A method of vector quantization which is popular for cluster analysis in data mining.
The implementation of multinomial logistic regression using logistic loss gradient decent.
The implementation of binary classification using hinge loss gradient decent.
(TODO: Add regularizer. Now we simply use zero regularizer.)
The implementation of linear regression using squared loss gradient decent.
Simple image blurring process that generates a 224x244 gray image and blurs it using a 3x3 window.
(TODO: Implement reading images from files.)