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Author:
SuperCowPowers LLC
License:
MIT License
Copyright (c) 2021-2026 SuperCowPowers LLC
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and assoc...
Summary:
Workbench: A Dashboard and Python API for creating and deploying AWS SageMaker Model Pipelines
Latest version:
0.8.498
Required dependencies:
aiobotocore
|
anthropic
|
awswrangler
|
boto3
|
botocore
|
duckdb
|
ipython
|
joblib
|
matplotlib
|
mordredcommunity
|
networkx
|
pandas
|
pyreadline3
|
rdkit
|
redis
|
requests
|
rich
|
sagemaker
|
sagemaker-core
|
sagemaker-mlops
|
sagemaker-serve
|
sagemaker-train
|
scikit-learn
|
xgboost
Optional dependencies:
aws-cdk-lib
|
black
|
chemprop
|
coverage
|
dash
|
dash-ag-grid
|
dash-bootstrap-components
|
flake8
|
mkdocs
|
mkdocs-material
|
mkdocstrings
|
mkdocstrings-python
|
optuna
|
plotly
|
pytest
|
pytest-cov
|
pytest-sugar
|
pytest-xdist
|
ray
|
tabicl
|
torch
|
tox
|
umap-learn
|
workbench
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