Forwarded from descent
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Forwarded from descent
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Forwarded from descent
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edge cognition pinned «This talk gave an inspiration for the creation of neural cellular automata model, and subsequently, the whole differentiable self-organizing system field. To learn about neural cellular automata, start with these two papers on distill.pub https://distil…»
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inpainting objective, on a base model. Model tries to learn oscillators to remember the initial picture, but struggles with it
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inpainting objective with 1 channel used as hard memory (updates on this channel are zeroed)
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metastability #webgpu
primordial partical system with high partical speeds and huge interaction radius.
when beta is small negative number, particles tend to cluster together. If beta is a bigger negative number, behaviour becomes chaotic.
As always, there is an interesting region in the parameter space between those two phases
primordial partical system with high partical speeds and huge interaction radius.
when beta is small negative number, particles tend to cluster together. If beta is a bigger negative number, behaviour becomes chaotic.
As always, there is an interesting region in the parameter space between those two phases
https://compute.toys/view/359
[WIP] refactor NCA to use array structs, leveraging webgpu capabilities #webgpu
[WIP] refactor NCA to use array structs, leveraging webgpu capabilities #webgpu
simple implementation of texture NCA in webgpu compute shaders
https://compute.toys/view/359
(code for train & export your own model is in the next post)
https://compute.toys/view/359
(code for train & export your own model is in the next post)
⚡1
https://github.com/algroznykh/notebooks/blob/master/%CE%BCNCA_pytorch_compute_codegen.ipynb
code for training own model & export to compute.toys
code for training own model & export to compute.toys
GitHub
notebooks/μNCA_pytorch_compute_codegen.ipynb at master · algroznykh/notebooks
Contribute to algroznykh/notebooks development by creating an account on GitHub.