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Author:
Hasan Rafiq
License:
Apache License 2.0
Summary:
Build Low Code Automated Tensorflow, What-IF explainable models in just 3 lines of code. To make Deep Learning on Tensorflow absolutely easy for the masses with its low code framework and also increase trust on ML models through What-IF model explainability.
Latest version:
1.3.4
Required dependencies:
apache-beam
|
google-api-core
|
google-cloud
|
google-cloud-aiplatform
|
ipython
|
joblib
|
jupyterlab-widgets
|
keras-tuner
|
protobuf
|
pytz
|
pyyaml
|
requests
|
six
|
tensorboard
|
tensorboard-data-server
|
tensorboard-plugin-wit
|
tensorflow
|
tensorflow-data-validation
|
tensorflow-estimator
|
tensorflow-hub
|
tensorflow-metadata
|
tensorflow-model-analysis
|
tensorflow-text
|
tfx
|
widgetsnbextension
|
witwidget
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