Holy cow. The artwork and primer are both stunning. Shame I found this AFTER making my own list of noteworthy cards. I definitely missed a few, but here it is anyway for anyone currently brewing:
So what we would basically want is a program that grades the network's output and if it's above a certain threshold in terms of correctness, we convulse it to make it a "correct" card, then add the new card to the training set? Then, over time, the network receives a more diverse training set, and will be more inclined to <eventually> hash out the grammar and conditions correctly.
So would a standalone grading program help anyone? Changing 1 line at the end could easily append the new, correctly-formatted cards to either their own list or the existing card data.
I'm not super well-versed on this specific thread, but I'm in Machine Learning right now and this is definitely something I could see myself working on for my open-ended final project this semester.
What I've seen for a LOT, LOT of people's networks is their frequency to incorrectly generate rules text within the context of the card type, plurality, ect.
If I were able to generate a table (perhaps a .csv) that showed specific phrases in 1 column, and the ONLY possible <correct> following rules in another column, would someone be able to use that to improve their network?
Well, you get the idea. If I made a .csv or excel table with phrase dependencies like this, does anyone think they could incorporate it well into their existing network?
Perhaps I will generate it by iterating through the dataset, perhaps by just using my knowledge of the game.
Hello. I am playing a thopter deck. I have noticed the lack of token for [thopter squadron] and request the help of the PS gurus. I am very (not so) good at Photoshop and I would like a thopter token based on the thopter squadron card. I would like this token in the old format.
I also noted the lack of decent thopters, and sought this thread out when I made some so I could share. They may not be exactly what you wanted, but I figured I'd share them anyway.
This isn't my first render, but it IS my first time posting to this thread, which I've followed for quite some time now. Let me know if I did anything incorrectly, guidelines-wise.
EDIT: Here's some alt art Tamiyo, Collector of Tales in English
Kentu, which of your templates did you use for that top? It's wonderful.
Source:
https://magic.wizards.com/en/articles/archive/news/japanese-alternate-art-planeswalkers-2019-04-22
http://tappedout.net/mtg-decks/guildmaster-niv/?cb=1555177405
I've run the network and have everything now, including my checkpoints.
In order to work from my Windows Machine, I piped the sample cards from each checkpoint to their own .txt file.
I see the decoder was written in python 2.X, which I have installed alongside 3.x but it's still complaining about the difference in syntax.
What command would I give my CMD on Windows to have Python 2.7 run decode.py on, say "test1.txt" and have it output the decoded cards to "output.txt"?
"python decode.py test1.txt output.txt" Makes python 3 try to run it and it complains instead of doing its job.
So would a standalone grading program help anyone? Changing 1 line at the end could easily append the new, correctly-formatted cards to either their own list or the existing card data.
What I've seen for a LOT, LOT of people's networks is their frequency to incorrectly generate rules text within the context of the card type, plurality, ect.
If I were able to generate a table (perhaps a .csv) that showed specific phrases in 1 column, and the ONLY possible <correct> following rules in another column, would someone be able to use that to improve their network?
EXAMPLE:
Independent Phrase:
"Destroy all..."
Dependent Follow-Up / Phrase Completion:
#optional linkers
["non-token", "token"]
#mandatory
["permanents", "creatures", "enchantments", "artifacts", "planeswalkers", "lands", "tokens", "non-token permanents"]
#optional closures
["with %keyword%", "with converted mana cost %X% or [more/less]"]
EXAMPLE 2:
Independent Phrase:
"Exile target..."
Dependent Follow-Up:
["permanent", "creature", "enchantment", "artifact", "plansewalker", "land", "spell"]
Well, you get the idea. If I made a .csv or excel table with phrase dependencies like this, does anyone think they could incorporate it well into their existing network?
Perhaps I will generate it by iterating through the dataset, perhaps by just using my knowledge of the game.
Undead Gladiator
Wheel of Fortune
Enlightened Tutor
Humility
I also noted the lack of decent thopters, and sought this thread out when I made some so I could share. They may not be exactly what you wanted, but I figured I'd share them anyway.
Colorless Thopter
Blue Thopter
Sorin, Grim Nemesis