HystonKayange
Research Assistant in the System Software Lab at Soongsil University, specializing in Recommender Systems.
JCLSouth Korea
Pinned Repositories
Heart-Rate-Modeling-for-Personalized-Fitness-Recommendations
JCL
Let's code
Maize-Leaf-Disease-classification-and-Detection
Final evaluation
Mthandizi
A python Desktop app to help the deaf
Mthandizi1
P3-FitRec
Personalised fitness recommendation by multi-level deep learning approach.
Paper
Feature Selection in Deep Recommendation Systems
trend-fitness-recommendation-technique
Trend Fitness is a web application dedicated to providing professional fitness advice which will include a range from fitness plans to diet plans catered to every individual needs. I believe that my web application will embark on a transformative journey towards a healthier lifestyle.
HystonKayange's Repositories
HystonKayange/Heart-Rate-Modeling-for-Personalized-Fitness-Recommendations
HystonKayange/JCL
Let's code
HystonKayange/Maize-Leaf-Disease-classification-and-Detection
Final evaluation
HystonKayange/Mthandizi
A python Desktop app to help the deaf
HystonKayange/Mthandizi1
HystonKayange/P3-FitRec
Personalised fitness recommendation by multi-level deep learning approach.
HystonKayange/Paper
Feature Selection in Deep Recommendation Systems
HystonKayange/trend-fitness-recommendation-technique
Trend Fitness is a web application dedicated to providing professional fitness advice which will include a range from fitness plans to diet plans catered to every individual needs. I believe that my web application will embark on a transformative journey towards a healthier lifestyle.