Mateen Ulhaq

Neat. I've been using [`tokyonight.nvim`](https://github.com/folke/tokyonight.nvim) (Storm), which has many similarities to quantum, but it might be nice to switch back to a quantum theme. **EDIT:** Looks great. I do miss...

Wouldn't it make more sense for arxiv to allow `.bib` **source** files rather than enforcing `.bbl` **compiled** files? arxiv [mentions](https://arxiv.org/help/submit_tex#bibtex): > We do not run BibTeX because the `.bib` database...

This error usually occurs when the model hasn't been updated via [`compressai.utils.update_model`](https://interdigitalinc.github.io/CompressAI/cli_usage.html#update-model) after training. See [here](https://interdigitalinc.github.io/CompressAI/tutorials/tutorial_train.html#model-update) for an example. Currently, this removes one layer of the `"state_dict"` (i.e. `ckpt nn.Module:...

Not to derail the discussion, but to speed up development, you can probably add features without worrying too much about performance. [RustFFT](https://www.reddit.com/r/rust/comments/6cyq5z/announcing_rustfft_20_fast_ffts_of_any_size_in/?st=k0ljlbcn&sh=6f659ea2) claims to be reasonably fast (non-GPU). Mark anywhere...

Also just the normal built-in vim statusline. Maybe do this by asynchronously updating some global variable at startup? EDIT: Looks like you already do that... `g:needToUpDate` ----- Also, shouldn't statusline...

I mean... you can always do what kitty did. :P https://github.com/kovidgoyal/kitty/issues/9

@dtomvan It might be better to create a [new issue](https://github.com/ms-jpq/coq_nvim/issues/new) since it might not be related to these.

One possible `aim.toml` (or `pyproject.toml`?!) config file layout: ```toml [aim.ui.runs_explorer] columns = [ { keep = False }, # blacklist EVERYTHING { keep = True, selector = "[non_duplicate]" }, {...

In terms of the API, does this new `__init__` interface seem reasonable? ```python class Distribution(CustomObject): """Distribution object used to store distribution objects in Aim repository. Args: data (:obj:): Optional array-like...

Attempt 2 (much cleaner): ```python class Distribution(CustomObject): """Distribution object used to store distribution objects in Aim repository.""" def __init__(self, hist, bin_edges): super().__init__() hist = np.asanyarray(hist) bin_edges = np.asanyarray(bin_edges) self._from_np_histogram(hist, bin_edges)...