Pinned Repositories
big-data-analysis
sleep_classifiers
Classify sleep from heart rate and acceleration via Apple Watch
texture-vs-shape
Pre-trained models, data, code & materials from the paper "ImageNet-trained CNNs are biased towards texture; increasing shape bias improves accuracy and robustness" (ICLR 2019 Oral)
vit-pytorch
Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch
XAI606-project
unolop's Repositories
unolop/big-data-analysis
unolop/sleep_classifiers
Classify sleep from heart rate and acceleration via Apple Watch
unolop/texture-vs-shape
Pre-trained models, data, code & materials from the paper "ImageNet-trained CNNs are biased towards texture; increasing shape bias improves accuracy and robustness" (ICLR 2019 Oral)
unolop/vit-pytorch
Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch
unolop/XAI606-project