atgctg
atgctg
I made notebooks for the book! Here they are: https://github.com/atgctg/data-science-from-scratch-notebooks PS: I know you don't like notebooks Joel — so please forgive me for this. Was a great read:)
You could try to use [ColabFold](https://github.com/sokrypton/ColabFold)'s [AlphaFold2_batch](https://colab.research.google.com/github/sokrypton/ColabFold/blob/main/batch/AlphaFold2_batch.ipynb) notebook for this @rajdeepjaswal52.
Would you also recommend https://webglfundamentals.org and https://webgl2fundamentals.org? Or are the contents of those not really related to WebGPU?
Hey @AnirudhDagar, could you please merge `master` into the `jax` branch? I'm working on [a JAX version](https://github.com/atgctg/d2l-jax) for the v1 release of the book and have a few chapters ready...
Thanks! I'll open a PR then. It would be great to standardize the API first, so other chapters can build on that. I would love to see your approach as...
Of course!
After some experimentation, I came up with the following: ```py def eye(j: int) -> TT["j", "j"]: return where(arange(j) - arange(j)[:, None] == 0, 1, 0) ``` Wonder if there's even...
These should be the default args in my opinion: ```py context_settings={"help_option_names": ["-h", "--help"]}, no_args_is_help=True, ``` #201
Would love this as well! Perhaps this would only require some sort of middleware that let's us parse the response. Got this far using: ```tsx const { messages, input, handleInputChange,...
Someone opened a PR for this (#24)