lucidrains

12 ms·

91.
by lucidrains 5y ago
Thanks for the kind words, and credit goes to Ryan Murdock for Big Sleep and Deep Daze. I simply packaged it up to spread the usage
92.
by lucidrains 5y ago
if one prefers video, Yannic Kilcher does an excellent explanation of the seminal paper https://www.youtube.com/watch?v=iDulhoQ2pro
93.
by lucidrains 5y ago
yea definitely, the ideas are orthogonal
94.
by lucidrains 5y ago
not even. like those MasterCard commercials, you could say it is, priceless...
95.
by lucidrains 5y ago
https://arxiv.org/abs/2109.02355
96.
by lucidrains 5y ago
use CLIP to generate a title for each piece of art, followed by a description with GPT, and it is ready for exhibition
97.
by lucidrains 5y ago
https://colab.research.google.com/github/sokrypton/ColabFold...
98.
by lucidrains 5y ago
Accompanying blog post https://arankomatsuzaki.wordpress.com/2021/06/04/gpt-j/
99.
by lucidrains 5y ago
Lol, thanks for mentioning Ice Cream
100.
by lucidrains 5y ago
Thanks for the kind words :) Hope you train something amazing with the code
101.
by lucidrains 6y ago
Thanks :D
102.
by lucidrains 6y ago
Thanks for the kind words and glad you found them useful :)
103.
by lucidrains 6y ago
Ryan's Big Sleep notebook https://colab.research.google.com/drive/1NCceX2mbiKOSlAd_o7I... Aleph2Image notebook https://colab.research.google.com/drive/1Q-TbYvASMPRMXCOQjkx...
104.
by lucidrains 6y ago
I have a working repo for that https://github.com/lucidrains/dalle-pytorch It just needs to be trained
105.
by lucidrains 6y ago
You can get a taste of the mentioned technology in the article today. https://github.com/lucidrains/deep-daze https://github.com/lucidrains/big-sleep
106.
by lucidrains 6y ago
"It is difficult to get a man to understand something, when his salary depends upon his not understanding it."
107.
by lucidrains 6y ago
Amazing day for structural biology! If it weren't for the pandemic, I would be out at the bars celebrating tonight!
108.
Full Waymo ride start to finish (guy with fun mom)(youtube.com)
1 points by lucidrains 6y ago|0 comments
109.
An hour and a half of backseat footage inside self-driving Waymo(youtube.com)
26 points by lucidrains 6y ago|7 comments
110.
by lucidrains 6y ago
By the time we can prompt large models and it gives us everything we want, then our work is clearly done. Before then, there's still work left.
111.
by lucidrains 6y ago
Why not learn some deep learning and participate in the coming automation? You are in a better position than most given it is just code
112.
by lucidrains 6y ago
https://arxiv.org/abs/1807.03819
113.
by lucidrains 6y ago
Exactly.
114.
by lucidrains 7y ago
I moved on to molecules https://thischemicaldoesnotexist.com Perhaps short stranded proteins are next
115.
by lucidrains 7y ago
Hi all, this was trained by Michael Friesen ( https://twitter.com/MichaelFriese10 ). I liked the latent space so much that I decided to share it with everyone. Have fun! I'll add some html to credit Michael with the trai
116.
by lucidrains 7y ago
I see, no worries then :)
117.
by lucidrains 7y ago
Your expertise is acknowledged. We are in agreement
118.
by lucidrains 7y ago
I see. My point is that all these efforts are really validating deep learning as an approach for solving previously intractable biophysics problems. Science is a series of stepping stones.
119.
by lucidrains 7y ago
Not everyone is focused on solving folding. It's just one step of many. https://www.nature.com/articles/s41592-019-0666-6 https://github.com/yangkky/Machine-learning-for-proteins
120.
by lucidrains 7y ago
I think what they did in the paper is to increase the chances by multiple rounds of hashing, up to 8 times. They show experimentally that 8 times was good enough to be equivalent to a regular transformer.

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