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Hi, first of all thanks to everyone that worked on DCTLSA.
I want to give some feedback regarding this project: I've added it to [neosr](https://github.com/muslll/neosr) and trained both bicubic and …
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### What happened + What you expected to happen
When running inference or computing actions using an instance of algorithm, `algorithm.compute_actions`, with connector API enabled, it throws error.
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### 🐛 Describe the bug
Hello there 👋
From my understanding, the code from the [docs](https://pytorch.org/docs/stable/generated/torch.nn.functional.scaled_dot_product_attention.html) should produc…
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According the `scripts/profile/inference.jl`, I got the png below, which says on my 2080ti / 28 cores cpu machine, batch size 512 is the best, and it cost about '1.6e-5' per example.
 page in the docs.
1. At the very outset: the comprehensive list of inference algorithms in one line (clickable, so it takes…
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I think it would be useful to specify a declaration-only subset of JS-with-type to use in declaration files. These would be `.d.js` files analogous to `.d.ts` files.
## Why
There are a few reasons…
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- better examples of how to do something useful using the stream parser with real data. you could use Twitter feed, or for example the metadata from Quandl:
http://www.quandl.com/api/v2/datasets.js…
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Hi, really awesome work! I have read your paper and find that in Table1, you only compare your methods with TediGAN. But as you mentioned in your related work, there are other two better training requ…
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## Background
Thank you for developing such a great library.
I'm reading the [document of MetaLearners](https://econml.azurewebsites.net/spec/estimation/metalearners.html#when-should-you-use-it)…
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related to #943
943 and related discussion is on how to handle outliers. AFAICS, the main approach for outlier detection and handling for ARMA and similar models are based intervention models, and …