PHEEEEELLLLLEEEEP
PHEEEEELLLLLEEEEP t1_j9k691x wrote
Reply to comment by GraciousReformer in [D] "Deep learning is the only thing that currently works at scale" by GraciousReformer
Regression doesnt just mean linear regression, if that's what you're confused about
PHEEEEELLLLLEEEEP t1_j96ezic wrote
You could try existing cell segmentation algos like stardist or cell pose
PHEEEEELLLLLEEEEP t1_j8bac1k wrote
Reply to comment by thundergolfer in [D] What ML dev tools do you wish you'd discovered earlier? by TikkunCreation
Why is airflow bad and can you suggest alternatives? I'm using airflow now with no issues
PHEEEEELLLLLEEEEP t1_j7hm3td wrote
Reply to comment by [deleted] in [N] Getty Images sues AI art generator Stable Diffusion in the US for copyright infringement by Wiskkey
Top legal mind of reddit
PHEEEEELLLLLEEEEP t1_j72txfo wrote
Reply to comment by jimmymvp in [D] Normalizing Flows in 2023? by wellfriedbeans
Diffusion models can also generate exact likelihoods so maybe we'll see a shift to those in the future
PHEEEEELLLLLEEEEP t1_j3mtoyy wrote
Reply to comment by DanTycoon in Image matching within database? [P] by Clarkmilo
What I mean is that faiss can compute knn for a variety of metrics including cosine distance. So you can just directly index by cosine distance instead of L2
PHEEEEELLLLLEEEEP t1_j3mirpm wrote
Reply to comment by DanTycoon in Image matching within database? [P] by Clarkmilo
>If you do this approach, I would recommend asking Faiss to retrieve a few more images than you need, then calculating cosine similarity yourself on the images Faiss retrieves to get the 'best' matched images.
Why not just index by cosine distance in the first place?
PHEEEEELLLLLEEEEP t1_j9wnx8o wrote
Reply to comment by donshell in [D] Are there any good FID and KID metrics implementations existing that are compatible with pytorch? by ats678
>I tried the torchmetrics implementation, however they’re giving me completely wrong results