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Author:
Javier Rodriguez Zaurin
License:
MIT
Summary:
Combine tabular data with text and images using Wide and Deep models in Pytorch
Latest version:
1.7.0
Required dependencies:
einops
|
fastparquet
|
gensim
|
numpy
|
opencv-contrib-python
|
pandas
|
pyarrow
|
scikit-learn
|
scipy
|
sentence-transformers
|
sentencepiece
|
spacy
|
torch
|
torchmetrics
|
torchvision
|
tqdm
|
transformers
|
wrapt
Optional dependencies:
black
|
codecov
|
faker
|
flake8
|
isort
|
mkdocs
|
mkdocs-autolinks-plugin
|
mkdocs-git-authors-plugin
|
mkdocs-jupyter
|
mkdocs-material
|
mkdocstrings
|
mkdocstrings-python
|
pytest
|
pytest-cov
|
recommonmark
|
sphinx
|
sphinx-autodoc-typehints
|
sphinx-copybutton
|
sphinx-markdown-tables
|
sphinx_rtd_theme
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