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Home Page: https://neu.ro
License: Apache License 2.0
Curated collection of ML Recipes
Home Page: https://neu.ro
License: Apache License 2.0
Apache 2.0
Copyright (c) 2019, Neuromation
See https://github.com/neuromation/ml-recipe-course-fast-ai-v3/blob/master/LICENSE
Could not really google an example with sentiment analysis using some well-known framework
I suggest providing some wrapper over https://stanfordnlp.github.io/CoreNLP/sentiment.html
We should test the critical path nightly:
make setup
make jupyter
make develop
(without waiting until the process is finished)make kill-all
Update all Recipes to the latest version of the Cookiecutter template, which includes all of these:
Also, every Recipe has to satisfy the following requirements:
[ ! -f ../data/aclImdb.zip ] && wget http://data.neu.ro/aclImdb.zip -O ../data/aclImdb.zip
[ ! -d ../data/aclImbd ] && unzip ../data/aclImdb.zip -d ../data/
should be replaced by
wget -nc http://data.neu.ro/aclImdb.zip -O ../data/aclImdb.zip
unzip -n ../data/aclImdb.zip -d ../data/
Progress:
see neuro-inc/cookiecutter-neuro-project#70 (comment) for instructions
Would be nice to drag in the annotated transformer lesson from harvardnlp.
I think, the main work here is to bring the code up-to-date with the latest pytorch version
If we assume that our customers will use them as starting points, then forking a repo is much more convenient than copy-pasting code. Also, having them in separate repositories makes community contributing easier.
Let's stick to 'ML Recipe' and 'Cookbook' terminology from now on for an individual project and a collection, respectively.
So, I suggest to do the following:
https
.make setup
and make jupyter
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