Cai Cai's Machine Learning Sklearn Class: Understandable from Scratch, from Model Invocation to Practical Implementation

The design of sklearn follows the "Swiss Army Knife" principle, integrating six core modules: Data Preprocessing: Similar to ...
IEEE

Design and Implementation of a Light-Weight Channel Vector Classifier Based on Support Vector Machine for Real-Time 5G Beam Index Detection

Abstract: Machine Learning (ML) is recently considered a key technology for bringing outstanding performance to wireless communications. Conventional research has highlighted the potential of Support ...
GitHub

Collaboration with Tempus #674

Hi guys, I'm the author of Tempus, a new type of SVM implementation that scales accuracy by nesting kernel matrices. A kernel function can be any model eg. LightGBM, TFT or a conventional kernel eg.
GitHub

RadeonFlow Kernels

[2025/06] AMD Developer Cloud now provides free AMD Instinct Accelerators, you can try out our project using their MI300X. This project contains implementations for three GPU kernels specifically ...
IEEE

Theft Detection Implementation Using Machine Learning

Abstract: Previously, crime detection relied exclusively on human observation, using inefficient methods for identifying illicit actions. The inclusion of CCTV cameras significantly improved ...