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.gitignore | ||
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README.md | ||
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UNLICENSE | ||
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data.py | ||
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faux-main.ipynb | ||
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faux_main.py | ||
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get_notebook.sh | ||
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main.ipynb | ||
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main.py | ||
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options.py | ||
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phase1.py | ||
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phase2.ipynb | ||
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phase2.py | ||
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phase2custom.py | ||
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phase3-copy-baseline(nopretrained).ipynb | ||
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phase3.ipynb | ||
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phase3.py | ||
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runs.csv | ||
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samenet-multiop.ipynb | ||
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scratch.md | ||
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setup.sh | ||
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update_mytorch.sh | ||
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utils.py | ||
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wiki-scratchh.ipynb | ||
A code base where you can find implementations of Domain Adversarial Training, tailored for recurrent models.
The code base is designed primarily for sentence/sequence classification tasks.
Run setup.sh after giving it executable permissions like so: chmod +x setup.sh.