Michael Pieler

I was able to solve it by first generating a dense array, then a np.array and then take the sum: ``` p0 = np.squeeze(np.array(xx[neg].todense()).sum(0)) p1 = np.squeeze(np.array(xx[pos].todense()).sum(0)) ``` There is...

"iUNets - Fully invertible U-Nets with Learnable Up- and Downsampling", https://arxiv.org/abs/2005.05220, https://github.com/cetmann/iunets “Mask2Former - Masked-attention Mask Transformer for Universal Image Segmentation", https://bowenc0221.github.io/mask2former/ Looking forward to the code! :-)

Hi Phil, yeah, Mask2Former is a little bit different from the standard UNet setup, which very likely makes it tricky to implement it in one abstraction (but I wanted to...

Yeah, I would say UNets are still the standard there. If I remember it correctly one of the nnUnet authors (https://github.com/MIC-DKFZ/nnUNet) once mentioned that a well trained UNet is hard...

Thank you for sharing, I didn't know the "Hierarchical Perceiver" paper and the one about UNet variants. 🙏 UNet++ looks really fancy, the corresponding paper has also some nice figures...

Packages I currently work on: - grad cache - pytorch AMP FP16 training - lr schedule Other packages that will be needed: - review and check (web)dataset setup incl. text...

Hi @lucidrains , I hope you are doing fine? We miss over at the EAI discord! This could be very interesting for x-clip: “FLAVA - A Foundational Language And Vision...

Looks interesting: "CoCa - Contrastive Captioners are Image-Text Foundation Models" https://arxiv.org/abs/2205.01917 “Unlike standard decoder transformers, CoCa omits cross-attention in the first half of the decoder layers to encode unimodal text...

Dear Piotr, thank you for the organization of the ulmfit4de repo! I am currently trying to get the german emoji description with beautiful soup into python and then into a...

Dear Piotr, see the link posted to the xml files with the different emoji translation by Marcin on the fastai-forum: http://forums.fast.ai/t/ulmfit-german/22529/49 Best regards Michael