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CLIP4Cir
[ACM TOMM 2023] - Composed Image Retrieval using Contrastive Learning and Task-oriented CLIP-based FeaturesCLIP4CirDemo
[CVPR 2022 - Demo Track] - Effective conditioned and composed image retrieval combining CLIP-based featuresAugmentBrain
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.MT-BERT
In MT-BERT we reproduce a neural language understanding model which implements a Multi-Task Deep Neural Network (MT-DNN) for learning representations across multiple NLU tasks.dawntime
https://reddeadrecovery.gitlab.io/dawntime/ In dawntime we implement a volumetric light scattering effect based on the postprocessing technique described by Kenny Mitchell.SupeRAuGAN
In SupeRAuGAN we implement a novel data augmentation technique tailored to Generative Adversarial Networks in order to reduce discriminator overfitting and stabilize trainingLove Open Source and this site? Check out how you can help us