mbien

5 ms·

1.
by mbien 5y ago
Thanks for your feedback! Indeed we tested it mostly for firefox & chrome compatibility for now
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Show HN: Where were the famous people born? An interactive map(com-480-data-visualization.github.io)
3 points by mbien 5y ago|2 comments
3.
by mbien 6y ago
As stated in readme, the dataset is downloadable from our website
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by mbien 6y ago
yes, we got quite a long queue :D
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by mbien 6y ago
Short version: https://www.aclweb.org/anthology/2020.inlg-1.4.pdf Long version: https://www.researchgate.net/publication/345308878_Cooking_r... They're both in README.md
6.
by mbien 6y ago
Hi, after gathering the model and tokenizer, you can use the generic huggingface tutorial for text generation: https://huggingface.co/blog/how-to-generate We use custom control tokens, so you have to provide the specif
7.
by mbien 6y ago
Good question! I'd say, ultimate task is to achieve both, but what is fully achievable atm is to get the right recipe structure. The idea of "validity" is very hard to evaluate and often has high regional and personal varianc
8.
by mbien 6y ago
Hard to say per recipe, as in the current setup they are generated on demand and not pre-generated. But as you can see, we're hosting the solution in academia so it's basically for free vs around 2$/hour with GPU on AWS Yes,
9.
by mbien 6y ago
Perfectly understood! We just cannot afford to run it on GPU in the backend so the generation takes up to 3 minutes which is terrible thing to do interactively :( You're invited to check it with 10minutemail or so, or you can try our m
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Show HN: Over 2M cooking recipes ready for text generation(github.com)
189 points by mbien 6y ago|60 comments
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Deep Learning Recipe Generator – could you say if recipe is real or fake?(survey.mbien.pl)
3 points by mbien 7y ago|0 comments
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by mbien 8y ago
I'm truly impressed how wide the response is. It makes me sure that this project is truly worth continuing. Thanks HN!
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by mbien 8y ago
I agree, I don't claim it's ready Please, treat it as interesting project to follow that has just started, and is surely not meant to be deployed in production environments, at least not in this state
14.
by mbien 8y ago
Currently we have only what CapacitorSet prepared: https://github.com/Glorf/lear/issues/1 I'll try to fix HTTP/1.0 support and post some more detailed benchmark in few hours
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by mbien 8y ago
Currently, it's architecture is similar to modern nginx, while simplicity is the point that makes it faster. I'll surely, look at your links and ideas, as this is still highly WIP. If you want to help creating this, feel free to j
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by mbien 8y ago
TBH, it was simpler in implementation and maintance, while creating just a little bit slower than pthread on initialization time.
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by mbien 8y ago
- Main advantage is simplicity, but architecture is in fact very similar to nginx. So, server should be faster than nginx but scale similarly. But it's all still highly DIY - You're right, I mean non-blocking architecture of netwo
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by mbien 8y ago
https is one of the first features I'd like to implement in the near future :) Do you know if there is some framework that I could test my server with, against eg. nginx? I was looking for one to do profiling, but am unsure if there ex
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Show HN: LEAR – A simple and fast HTTP server to serve static resources(github.com)
66 points by mbien 8y ago|32 comments