Linking pages
- GitHub - cmhungsteve/Awesome-Transformer-Attention: An ultimately comprehensive paper list of Vision Transformer/Attention, including papers, codes, and related websites https://github.com/cmhungsteve/Awesome-Transformer-Attention 13 comments
- GitHub - maziarraissi/Applied-Deep-Learning: Applied Deep Learning Course https://github.com/maziarraissi/Applied-Deep-Learning 6 comments
- GitHub - yukimasano/PASS: The PASS dataset: pretrained models and how to get the data https://github.com/yukimasano/PASS 0 comments
- GitHub - AakashKumarNain/annotated_research_papers: This repo contains annotated research papers that I found really good and useful https://github.com/AakashKumarNain/annotated_research_papers 0 comments
- GitHub - facebookresearch/xcit: Official code Cross-Covariance Image Transformer (XCiT) https://github.com/facebookresearch/xcit 0 comments
Linked pages
- PyTorch http://pytorch.org/ 100 comments
- [2104.14294] Emerging Properties in Self-Supervised Vision Transformers https://arxiv.org/abs/2104.14294 3 comments
- DINO and PAWS: Advancing the state of the art in computer vision https://ai.facebook.com/blog/dino-paws-computer-vision-with-self-supervised-transformers-and-10x-more-efficient-training 0 comments
- GitHub - facebookresearch/xcit: Official code Cross-Covariance Image Transformer (XCiT) https://github.com/facebookresearch/xcit 0 comments
- GitHub - facebookresearch/dinov2: PyTorch code and models for the DINOv2 self-supervised learning method. https://github.com/facebookresearch/dinov2 0 comments
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