GitLab

Update eager/custom_training_walkthrough notebook to fit with collections

* Add deep speech model and run loop

* fix lints and add init

* Add dataset and address comments

Rename programmers_guide/ to guide/ in tf-models.

Addition of STEVE

Merge internal changes

Add html elements and css class to notebook buttons

Normalize notebook titles

PiperOrigin-RevId: 202034593

PiperOrigin-RevId: 202034513

PiperOrigin-RevId: 201878162

Add environments for efficient-hrl

 Modularize light curve and TCE preprocessing functions for easier reuse

PiperOrigin-RevId: 201839789

PiperOrigin-RevId: 201839334

PiperOrigin-RevId: 201007094

PiperOrigin-RevId: 201007073

Fix phrasing

Added new model.

Use TensorFlow functions instead of Keras strings

* Sentiment analysis model initial implementation.

- This is an implementation of the Sentiment Analysis model.
- The implementation is with the reference to paddle version.

* Sentiment analysis model initial implementation.

- This is an implementation of the Sentiment Analysis model.
- The implementation is with the reference to paddle version.

* addressing comments

* addressing comments

* addressing the comments: using the util function for distribution strategy

* addressing comments

- lint style correction.
- avoid using global FLAG variable.

* modify the format to fit in the style guideline.

* convert from single quote to double quote

No-need to upgrade now that r1.9rc1 is up in Colab.

* begin branch

* finish download script

* rename download to dataset

* intermediate commit

* intermediate commit

* misc tweaks

* intermediate commit

* intermediate commit

* intermediate commit

* delint and update census test.

* add movie tests

* delint

* fix py2 issue

* address PR comments

* intermediate commit

* intermediate commit

* intermediate commit

* finish wide deep transition to vanilla movielens

* delint

* intermediate commit

* intermediate commit

* intermediate commit

* intermediate commit

* fix import

* add default ncf csv construction

* change default on download_if_missing

* shard and vectorize example serialization

* fix import

* update ncf data unittests

* delint

* delint

* more delinting

* fix wide-deep movielens serialization

* address PR comments

* add file_io tests

* investigate wide-deep test failure

* remove hard coded path and properly use flags.

* address file_io test PR comments

* missed a hash_bucked_size

Remove preprocess fn