karius85
karius85 t1_jav4q78 wrote
Reply to [R] High-resolution image reconstruction with latent diffusion models from human brain activity by SleekEagle
Any relation to the team in Kyoto who popped up in vsauce MindField episode a couple of years back?
karius85 t1_jaeoyq7 wrote
Reply to comment by 7734128 in [R] Microsoft introduce Kosmos-1, a Multimodal Large Language Model (MLLM) that can perceive general modalities, learn in context (i.e., few-shot), and follow instructions (i.e., zero-shot) by MysteryInc152
Sparse matrices, but you would need quite a lot of zeros.
karius85 t1_jabp9sc wrote
Reply to comment by Etterererererer in [P] [R] Neural Network in Fortran! by Etterererererer
I would look at C++ frameworks. Never heard of any sane implementation in pure fortran.
karius85 t1_iw6737h wrote
I write custom networks and modules all the time in my research. I imagine most of the researchers in my group do as well.
karius85 t1_jdpz4k7 wrote
Reply to [D] Title: Best tools and frameworks for working with million-billion image datasets? by v2thegreat
Pytorch Lightning is a simpler alternative to PyTorch and Kornia has a lot of standard scikit-image/opencv implementations for PyTorch on GPU, many of which support autograd. Webdataset is scheduled for inclusion into PyTorch, and uses sharded tar files with label data, but is currently underdocumented to some extent.