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In light of the work of @matkoniecz on [cleaning up non-standard shop values](https://wiki.openstreetmap.org/wiki/User:Mateusz_Konieczny/unusual_shop_values) i think we should re-consider the catch-al…
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There was a [request in 2014 that was subsequently closed for an allergy specific class of icons](https://github.com/FortAwesome/Font-Awesome/issues/5228). Since it's closed it doesn't come up in gene…
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Hi,
I'm trying to follow your `finalprint` function (`Tag_Getter2.py`) to conduct image classification. It turns out that a lot of images would be categorized to not found. Actually, I think`label_…
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Firstly, great tool you've implemented here.. I was worried I'd have to go through all my transactions to classify them manually -- this tool has thankfully provided me with some relief, so thank you …
vorwd updated
10 months ago
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Discuss all the type of sponsors, you'll keep
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## Problem statement
1. image와 language pair의 관계에 대한 multi-modal pre-training을 넘어서, language supervision과 image self-supervision을 통해 데이터 효율을 높여본다.
- CLIP + SimCLR(image supervision)을 해보자
##…
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I am trying the same code for other dataset but I am not getting expected results.
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Hi @mdsimpson42 and @matkoniecz , @MKIM1008 and I are working on a revised land use section and a GB Manufacturing and SME map. Mike we're wanting to replace the NLUD categories with SIC (Standard In…
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Given the sentence:
> The cat is a bad cat.
The current `explain_instance` returns:
```
[('bad', 0.023544989987054128), ('The', -2.223453279269586e-06), ('cat', -2.0328098267135788e-06), ('a',…
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Hi,
One of our publishers has requested adding the following venue type:
Transit -> Travel Plaza
Grandchild Categories:
Transit -> Travel Plaza -> Food Court
Transit -> Travel Plaza -> Restr…