v3
end-to-end-NLP-workflows-projects
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Name
Complexity
Churn
Issues
A
azure-pipelines.yml
 10 -
A
benchmarks\nel\project.yml
 9 -
D
benchmarks\nel\scripts\datasets\dataset.py
82 9 5
A
run-tests.sh
 8 1
A
benchmarks\nel\scripts\evaluate.py
1 8 -
A
benchmarks\nel\scripts\datasets\evaluation.py
41 8 -
A
benchmarks\nel\scripts\candidate_generation\embeddings.py
11 7 -
A
benchmarks\nel\scripts\compile_corpora.py
2 7 -
A
benchmarks\nel\scripts\datasets\utils.py
27 6 1
A
benchmarks\nel\scripts\candidate_generation\base.py
6 5 1
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benchmarks\nel\scripts\clean_data.py
1 5 -
A
tutorials\ner_tweets\project.yml
 5 -
A
benchmarks\nel\scripts\custom_functions.py
2 5 -
A
pipelines\tagger_parser_ud\project.yml
 5 -
A
experimental\ner_spancat_compare\project.yml
 5 -
A
experimental\coref\project.yml
 4 -
A
benchmarks\nel\scripts\candidate_generation\lexical.py
6 4 -
A
pipelines\floret_wiki_oscar_vectors\project.yml
 4 -
A
benchmarks\speed\project.yml
 4 -
A
benchmarks\nel\scripts\datasets\mewsli_9.py
16 4 -