Code base for open-sourcing code related to the self-organising systems effort at Google. Some examples of our work:
google-research / self-organising-systems Goto Github PK
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License: Apache License 2.0
Code base for open-sourcing code related to the self-organising systems effort at Google. Some examples of our work:
Hello! I admire your work and see great potential for research and future technologies in it.
In your paper "Transformers learn in-context by gradient descent" you show that transformers have a semblance of gradient descent in a forward pass.
As you can see, is it possible to represent some of the body's self-regulation processes as an autoregressive model, such as a transformer?
And if so, does the organism exhibit its adaptation similar to gradient descent by the error of simple autoregression?
When trying to run texture_nca_tf2.ipynb
in Colab I got the following error:
---------------------------------------------------------------------------
FileNotFoundError Traceback (most recent call last)
<ipython-input-5-649be2f889ba> in <module>()
1 #@title ⬅ run this cell to explore pretrained models! {vertical-output: true}
2 get_ipython().system('wget -qnc --show-progress https://storage.googleapis.com/selforg/texture_ca/model_npys.zip')
----> 3 pretrained_models = np.load('model_npys.zip', allow_pickle=True)
4
5 model_groups = {}
/usr/local/lib/python3.7/dist-packages/numpy/lib/npyio.py in load(file, mmap_mode, allow_pickle, fix_imports, encoding)
414 own_fid = False
415 else:
--> 416 fid = stack.enter_context(open(os_fspath(file), "rb"))
417 own_fid = True
418
FileNotFoundError: [Errno 2] No such file or directory: 'model_npys.zip'
The file this cell trying to download seems missing.
Hello! Thanks for sharing this work.
I noticed some cells related to exporting the network to shadertoy format, at the bottom of the newly committed μNCA notebooks.
Is there some boilerplate code that would need to surround this vec4 update function?
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