gitlab.com topics: data-augmentation
fra-wa/pytorch_segmentation
This is a project to train, use and analyze 2D and 3D neural networks for segmentation. It contains a UI and is implemented in pytorch and django as backend.
Last synced at: about 2 years ago - Stars: 2 - Forks: 0
ABaldrati/AugmentBrain
In AugmentBrain we investigate the performance of different data augmentation methods for the classification of Motor Imagery (MI) data using a Convolutional Neural Network tailored for EEG named EEGNet.
Last synced at: over 2 years ago - Stars: 1 - Forks: 0
reddeadrecovery/superaugan
In SupeRAuGAN we implement a novel data augmentation technique tailored to Generative Adversarial Networks in order to reduce discriminator overfitting and stabilize training
Last synced at: over 2 years ago - Stars: 0 - Forks: 0
ffaye/flattenlabeldist
A robust algorithm for extending samples with rare labels in multi-label datasets.
Last synced at: almost 2 years ago - Stars: 0 - Forks: 0