DigThatData
DigThatData t1_irds2na wrote
Reply to comment by master3243 in [P] Stable-DreamFusion: A working implementation of text-to-3D DreamFusion, powered by Stable Diffusion by hardmaru
it's a method that utilizes pre-trained models, you can use it right now
DigThatData t1_ir85b9f wrote
Reply to comment by ReginaldIII in [R] Discovering Faster Matrix Multiplication Algorithms With Reinforcement Learning by EducationalCicada
> less energy usage.
you wish.
DigThatData t1_ir1j32u wrote
Reply to [R] The Illustrated Stable Diffusion by jayalammar
For those who don't recognize the name/url: OP authored a similarly titled tutorial on transformers that is widely considered one of the best introductions to the topic.
Keep up the good work Jay, thanks for the great content :)
DigThatData t1_iqunlco wrote
Reply to comment by sstlaws in [D] Types of Machine Learning Papers by Lost-Parfait568
yup 100%
DigThatData t1_iqtggke wrote
Reply to comment by Even_Information4853 in [D] Types of Machine Learning Papers by Lost-Parfait568
pretty sure lego blocks is the CEO of HuggingFace, Clem Delangue. In fact, I think the init image was his LinkedIn profile pic: https://www.linkedin.com/in/clementdelangue/
DigThatData t1_irfll3d wrote
Reply to [D] Giving Up on Staying Up to Date and Splitting the Field by beezlebub33
The trick I think is to stay current. If you don't get around to reading an important paper: it happens. You can't read everything. It's more important that you at least have a pulse on what is possible and what other people are doing. Look forward, not back.