GitHub topics: multitask-classification
xuxu-wei/SUAVE
Implementation of a Hybrid Variational Autoencoder (VAE) for label information-guided dimensionality reduction.
Language: Python - Size: 1.34 MB - Last synced at: about 1 month ago - Pushed at: 4 months ago - Stars: 33 - Forks: 3
Git-With-Chris/EmotiScan
Fun web application leveraging a deep learning model to predict emotions and facial expressions in humans
Language: Jupyter Notebook - Size: 4.12 MB - Last synced at: 12 months ago - Pushed at: 12 months ago - Stars: 0 - Forks: 0
biodatlab/multitask-vision-ecg
MS and LVEF classification for ECG image using multi-task deep learning. Demo website (in Thai) ↓
Language: Jupyter Notebook - Size: 6.23 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 3 - Forks: 2
HansRen1024/Face-Attributes-MultiTask-Classification
Use Cafffe to do Face Attributes MultiTask Classification based on CelebA data sets
Language: C++ - Size: 52.7 KB - Last synced at: about 1 year ago - Pushed at: about 3 years ago - Stars: 34 - Forks: 5
gdiprisco/Multitask_CNNs_for_efficient_face_analysis_in_the_wild
An innovative multi-task neural architecture suitable for face analysis and the consequent identification of gender, age, ethnicity and emotion. A network capable of the performance of the state of the art of single-task networks by sharing the feature extraction part. It may be suitable for robotic applications: it requires time and memory in the order of a single-task network.
Language: Python - Size: 28.2 MB - Last synced at: over 2 years ago - Pushed at: over 4 years ago - Stars: 1 - Forks: 1
