Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Jump to bottom

standardize_y does not support using alternative classes as datasets #47

Closed
jfsantos opened this issue Apr 15, 2015 · 1 comment
Closed

standardize_y does not support using alternative classes as datasets #47

jfsantos opened this issue Apr 15, 2015 · 1 comment

Comments

@jfsantos
Copy link
Contributor

I implemented a class to be able to use slices of an HDF5 dataset as data matrices/vectors in keras. Even though the class emulates the ndarray API (at least for len and __getitem__ stuff), you can't call np.asarray on it. Since I am not sure on how this could be fixed, I preferred to post this as an issue to ask for advice. Maybe we could change it such that it only calls np.asarray if it makes sense (i.e., its input is a list, list of tuples, tuple, tuple of tuples, tuple of lists or ndarray?

The class in question is in the following gist: https://gist.github.com/jfsantos/14ae9631716a2aa328c4.
@jfsantos jfsantos changed the title Problem with standardize_y Problem with standardize_y if using alternative class as dataset Apr 15, 2015
@jfsantos jfsantos mentioned this issue Apr 15, 2015
Closed
@jfsantos jfsantos changed the title Problem with standardize_y if using alternative class as dataset standardize_y does not support using alternative classes as datasets Apr 15, 2015
@jfsantos jfsantos mentioned this issue Apr 15, 2015
Merged
@jfsantos
Copy link
Contributor Author

Closed by #48

hubingallin pushed a commit to hubingallin/keras that referenced this issue Sep 22, 2023
@ariG23498
Add Categorical Accuracy Metric (keras-team#47)
b0414e1 
* chore: adding categorical accuracy metric

* chore: reformat docstrings

* chore: reformat

* chore: ndims with len

* refactor the docstring
hubingallin pushed a commit to hubingallin/keras that referenced this issue Sep 22, 2023
@nkovela1 @fchollet
@ariG23498 @sampathweb @chenmoneygithub @haifeng-jin @grasskin
Adds RMSprop and AdamW optimizers with associated tests. (keras-team#59)
b49e12e 
* Add golden correctness tests for Adam and SGD

* Fix dtype issues

* Sync with main (keras-team#56)

* Minor touch ups

* Fix a pretty major bug

* Format code

* Big rethink of Variable API

* Make build-by-run the default build(), leveraging new zero_history KerasTensor mode

* Minor fixes

* Format code

* Switch back to build-by-eager-run for simplicity

* Add raise upon build failure

* Work around JAX bug.

* Add a few more tests.

* Add saving tests

* Adds test suite for SGD and golden correctness tests for all optimizers (keras-team#40)

* Add golden correctness tests for Adam and SGD

* Fix dtype issues

* Add binary accuracy (keras-team#41)

* chore: adding binary accuracy

* chore: fix docstring

* Add tests for add_loss and activity regularization.

* Reformat code

* Add ActivityRegularization layer

* Fix JAX CI.

* Add Lambda Callback (keras-team#42)

* Add LambdaCallback

* Add Lambda Callback

* Add Lambda Callback

* Rename lambda_callback_test.py

* Add einsum (keras-team#43)

* Add einsum

* address comments

* Fix format line length (keras-team#45)

* Add Embedding layer

* Shorten lines

* Add .vscode to .gitignore (keras-team#46)

* rm vscode settings

* add .vscode to gitignore

* Set demo program backend (keras-team#48)

* Add tests for training arg resolution in Layer.

* Implement mixed precision.

* Replace backend.execute with backend.numpy.XXX (keras-team#50)

* Add cosine similarity loss and update l2_normalize from regularizers (keras-team#34)

* Begin cosine loss

* Add testing for cosine similarity

* Fix formatting

* Docstring standardization

* Formatting

* Create numerical_utils

* Fix issue with call context lingering.

* Add the EarlyStopping callback (keras-team#44)

* add earlystopping callback

* addressing comments

* address comments

* addressing comments

* remove unused imports

* re-enable imports checks (keras-team#51)

* Add nn.one_hot (keras-team#52)

* Add GaussianDropout layer.

* Add GaussianNoise layer

* Add Categorical Accuracy Metric (keras-team#47)

* chore: adding categorical accuracy metric

* chore: reformat docstrings

* chore: reformat

* chore: ndims with len

* refactor the docstring

* Fix typos

* Implement masking.

---------

Co-authored-by: Francois Chollet <francois.chollet@gmail.com>
Co-authored-by: Aritra Roy Gosthipaty <aritra.born2fly@gmail.com>
Co-authored-by: Ramesh Sampath <1437573+sampathweb@users.noreply.github.com>
Co-authored-by: Chen Qian <chenmoney@google.com>
Co-authored-by: Haifeng Jin <5476582+haifeng-jin@users.noreply.github.com>
Co-authored-by: Gabriel Rasskin <43894452+grasskin@users.noreply.github.com>

* Adds rmsprop optimizer and tests

* Add AdamW optimizer and tests, minor formatting changes

* Implemented formatting fixes

---------

Co-authored-by: Francois Chollet <francois.chollet@gmail.com>
Co-authored-by: Aritra Roy Gosthipaty <aritra.born2fly@gmail.com>
Co-authored-by: Ramesh Sampath <1437573+sampathweb@users.noreply.github.com>
Co-authored-by: Chen Qian <chenmoney@google.com>
Co-authored-by: Haifeng Jin <5476582+haifeng-jin@users.noreply.github.com>
Co-authored-by: Gabriel Rasskin <43894452+grasskin@users.noreply.github.com>
hubingallin pushed a commit to hubingallin/keras that referenced this issue Sep 22, 2023
@nkovela1 @fchollet
@ariG23498 @sampathweb @chenmoneygithub @haifeng-jin @grasskin
Adds Adagrad and Adadelta optimizers and associated tests. (keras-tea…
047485b 
…m#72)

* Add golden correctness tests for Adam and SGD

* Fix dtype issues

* Sync with main (keras-team#56)

* Minor touch ups

* Fix a pretty major bug

* Format code

* Big rethink of Variable API

* Make build-by-run the default build(), leveraging new zero_history KerasTensor mode

* Minor fixes

* Format code

* Switch back to build-by-eager-run for simplicity

* Add raise upon build failure

* Work around JAX bug.

* Add a few more tests.

* Add saving tests

* Adds test suite for SGD and golden correctness tests for all optimizers (keras-team#40)

* Add golden correctness tests for Adam and SGD

* Fix dtype issues

* Add binary accuracy (keras-team#41)

* chore: adding binary accuracy

* chore: fix docstring

* Add tests for add_loss and activity regularization.

* Reformat code

* Add ActivityRegularization layer

* Fix JAX CI.

* Add Lambda Callback (keras-team#42)

* Add LambdaCallback

* Add Lambda Callback

* Add Lambda Callback

* Rename lambda_callback_test.py

* Add einsum (keras-team#43)

* Add einsum

* address comments

* Fix format line length (keras-team#45)

* Add Embedding layer

* Shorten lines

* Add .vscode to .gitignore (keras-team#46)

* rm vscode settings

* add .vscode to gitignore

* Set demo program backend (keras-team#48)

* Add tests for training arg resolution in Layer.

* Implement mixed precision.

* Replace backend.execute with backend.numpy.XXX (keras-team#50)

* Add cosine similarity loss and update l2_normalize from regularizers (keras-team#34)

* Begin cosine loss

* Add testing for cosine similarity

* Fix formatting

* Docstring standardization

* Formatting

* Create numerical_utils

* Fix issue with call context lingering.

* Add the EarlyStopping callback (keras-team#44)

* add earlystopping callback

* addressing comments

* address comments

* addressing comments

* remove unused imports

* re-enable imports checks (keras-team#51)

* Add nn.one_hot (keras-team#52)

* Add GaussianDropout layer.

* Add GaussianNoise layer

* Add Categorical Accuracy Metric (keras-team#47)

* chore: adding categorical accuracy metric

* chore: reformat docstrings

* chore: reformat

* chore: ndims with len

* refactor the docstring

* Fix typos

* Implement masking.

---------

Co-authored-by: Francois Chollet <francois.chollet@gmail.com>
Co-authored-by: Aritra Roy Gosthipaty <aritra.born2fly@gmail.com>
Co-authored-by: Ramesh Sampath <1437573+sampathweb@users.noreply.github.com>
Co-authored-by: Chen Qian <chenmoney@google.com>
Co-authored-by: Haifeng Jin <5476582+haifeng-jin@users.noreply.github.com>
Co-authored-by: Gabriel Rasskin <43894452+grasskin@users.noreply.github.com>

* Adds rmsprop optimizer and tests

* Add AdamW optimizer and tests, minor formatting changes

* Implemented formatting fixes

* Adds clip norm and clip value tests to Adam

* Adds Adagrad and Adadelta optimizers

* Applies fixes to formatting and deletes unnecessary kwargs

---------

Co-authored-by: Francois Chollet <francois.chollet@gmail.com>
Co-authored-by: Aritra Roy Gosthipaty <aritra.born2fly@gmail.com>
Co-authored-by: Ramesh Sampath <1437573+sampathweb@users.noreply.github.com>
Co-authored-by: Chen Qian <chenmoney@google.com>
Co-authored-by: Haifeng Jin <5476582+haifeng-jin@users.noreply.github.com>
Co-authored-by: Gabriel Rasskin <43894452+grasskin@users.noreply.github.com>
hubingallin pushed a commit to hubingallin/keras that referenced this issue Sep 22, 2023
@nkovela1 @fchollet
@ariG23498 @sampathweb @chenmoneygithub @haifeng-jin @grasskin
Adds all remaining Keras optimizers (Adamax, Adafactor, Nadam, and Ft…
3cf0a83 
…rl) (keras-team#80)

* Add golden correctness tests for Adam and SGD

* Fix dtype issues

* Sync with main (keras-team#56)

* Minor touch ups

* Fix a pretty major bug

* Format code

* Big rethink of Variable API

* Make build-by-run the default build(), leveraging new zero_history KerasTensor mode

* Minor fixes

* Format code

* Switch back to build-by-eager-run for simplicity

* Add raise upon build failure

* Work around JAX bug.

* Add a few more tests.

* Add saving tests

* Adds test suite for SGD and golden correctness tests for all optimizers (keras-team#40)

* Add golden correctness tests for Adam and SGD

* Fix dtype issues

* Add binary accuracy (keras-team#41)

* chore: adding binary accuracy

* chore: fix docstring

* Add tests for add_loss and activity regularization.

* Reformat code

* Add ActivityRegularization layer

* Fix JAX CI.

* Add Lambda Callback (keras-team#42)

* Add LambdaCallback

* Add Lambda Callback

* Add Lambda Callback

* Rename lambda_callback_test.py

* Add einsum (keras-team#43)

* Add einsum

* address comments

* Fix format line length (keras-team#45)

* Add Embedding layer

* Shorten lines

* Add .vscode to .gitignore (keras-team#46)

* rm vscode settings

* add .vscode to gitignore

* Set demo program backend (keras-team#48)

* Add tests for training arg resolution in Layer.

* Implement mixed precision.

* Replace backend.execute with backend.numpy.XXX (keras-team#50)

* Add cosine similarity loss and update l2_normalize from regularizers (keras-team#34)

* Begin cosine loss

* Add testing for cosine similarity

* Fix formatting

* Docstring standardization

* Formatting

* Create numerical_utils

* Fix issue with call context lingering.

* Add the EarlyStopping callback (keras-team#44)

* add earlystopping callback

* addressing comments

* address comments

* addressing comments

* remove unused imports

* re-enable imports checks (keras-team#51)

* Add nn.one_hot (keras-team#52)

* Add GaussianDropout layer.

* Add GaussianNoise layer

* Add Categorical Accuracy Metric (keras-team#47)

* chore: adding categorical accuracy metric

* chore: reformat docstrings

* chore: reformat

* chore: ndims with len

* refactor the docstring

* Fix typos

* Implement masking.

---------

Co-authored-by: Francois Chollet <francois.chollet@gmail.com>
Co-authored-by: Aritra Roy Gosthipaty <aritra.born2fly@gmail.com>
Co-authored-by: Ramesh Sampath <1437573+sampathweb@users.noreply.github.com>
Co-authored-by: Chen Qian <chenmoney@google.com>
Co-authored-by: Haifeng Jin <5476582+haifeng-jin@users.noreply.github.com>
Co-authored-by: Gabriel Rasskin <43894452+grasskin@users.noreply.github.com>

* Adds rmsprop optimizer and tests

* Add AdamW optimizer and tests, minor formatting changes

* Implemented formatting fixes

* Adds clip norm and clip value tests to Adam

* Adds Adagrad and Adadelta optimizers

* Applies fixes to formatting and deletes unnecessary kwargs

* Adds Adamax and Adafactor and associated tests

* Adds Nadam and Ftrl optimizers and associated tests

---------

Co-authored-by: Francois Chollet <francois.chollet@gmail.com>
Co-authored-by: Aritra Roy Gosthipaty <aritra.born2fly@gmail.com>
Co-authored-by: Ramesh Sampath <1437573+sampathweb@users.noreply.github.com>
Co-authored-by: Chen Qian <chenmoney@google.com>
Co-authored-by: Haifeng Jin <5476582+haifeng-jin@users.noreply.github.com>
Co-authored-by: Gabriel Rasskin <43894452+grasskin@users.noreply.github.com>
pnacht pushed a commit to pnacht/keras that referenced this issue Nov 10, 2023
@ariG23498 @fchollet
Add Categorical Accuracy Metric (keras-team#47)
3edbba4 
* chore: adding categorical accuracy metric

* chore: reformat docstrings

* chore: reformat

* chore: ndims with len

* refactor the docstring
pnacht pushed a commit to pnacht/keras that referenced this issue Nov 10, 2023
@nkovela1 @fchollet
@ariG23498 @sampathweb @chenmoneygithub @haifeng-jin @grasskin
Adds RMSprop and AdamW optimizers with associated tests. (keras-team#59)
07baa95 
* Add golden correctness tests for Adam and SGD

* Fix dtype issues

* Sync with main (keras-team#56)

* Minor touch ups

* Fix a pretty major bug

* Format code

* Big rethink of Variable API

* Make build-by-run the default build(), leveraging new zero_history KerasTensor mode

* Minor fixes

* Format code

* Switch back to build-by-eager-run for simplicity

* Add raise upon build failure

* Work around JAX bug.

* Add a few more tests.

* Add saving tests

* Adds test suite for SGD and golden correctness tests for all optimizers (keras-team#40)

* Add golden correctness tests for Adam and SGD

* Fix dtype issues

* Add binary accuracy (keras-team#41)

* chore: adding binary accuracy

* chore: fix docstring

* Add tests for add_loss and activity regularization.

* Reformat code

* Add ActivityRegularization layer

* Fix JAX CI.

* Add Lambda Callback (keras-team#42)

* Add LambdaCallback

* Add Lambda Callback

* Add Lambda Callback

* Rename lambda_callback_test.py

* Add einsum (keras-team#43)

* Add einsum

* address comments

* Fix format line length (keras-team#45)

* Add Embedding layer

* Shorten lines

* Add .vscode to .gitignore (keras-team#46)

* rm vscode settings

* add .vscode to gitignore

* Set demo program backend (keras-team#48)

* Add tests for training arg resolution in Layer.

* Implement mixed precision.

* Replace backend.execute with backend.numpy.XXX (keras-team#50)

* Add cosine similarity loss and update l2_normalize from regularizers (keras-team#34)

* Begin cosine loss

* Add testing for cosine similarity

* Fix formatting

* Docstring standardization

* Formatting

* Create numerical_utils

* Fix issue with call context lingering.

* Add the EarlyStopping callback (keras-team#44)

* add earlystopping callback

* addressing comments

* address comments

* addressing comments

* remove unused imports

* re-enable imports checks (keras-team#51)

* Add nn.one_hot (keras-team#52)

* Add GaussianDropout layer.

* Add GaussianNoise layer

* Add Categorical Accuracy Metric (keras-team#47)

* chore: adding categorical accuracy metric

* chore: reformat docstrings

* chore: reformat

* chore: ndims with len

* refactor the docstring

* Fix typos

* Implement masking.

---------

Co-authored-by: Francois Chollet <francois.chollet@gmail.com>
Co-authored-by: Aritra Roy Gosthipaty <aritra.born2fly@gmail.com>
Co-authored-by: Ramesh Sampath <1437573+sampathweb@users.noreply.github.com>
Co-authored-by: Chen Qian <chenmoney@google.com>
Co-authored-by: Haifeng Jin <5476582+haifeng-jin@users.noreply.github.com>
Co-authored-by: Gabriel Rasskin <43894452+grasskin@users.noreply.github.com>

* Adds rmsprop optimizer and tests

* Add AdamW optimizer and tests, minor formatting changes

* Implemented formatting fixes

---------

Co-authored-by: Francois Chollet <francois.chollet@gmail.com>
Co-authored-by: Aritra Roy Gosthipaty <aritra.born2fly@gmail.com>
Co-authored-by: Ramesh Sampath <1437573+sampathweb@users.noreply.github.com>
Co-authored-by: Chen Qian <chenmoney@google.com>
Co-authored-by: Haifeng Jin <5476582+haifeng-jin@users.noreply.github.com>
Co-authored-by: Gabriel Rasskin <43894452+grasskin@users.noreply.github.com>
pnacht pushed a commit to pnacht/keras that referenced this issue Nov 10, 2023
@nkovela1 @fchollet
@ariG23498 @sampathweb @chenmoneygithub @haifeng-jin @grasskin
Adds Adagrad and Adadelta optimizers and associated tests. (keras-tea…
4212fdd 
…m#72)

* Add golden correctness tests for Adam and SGD

* Fix dtype issues

* Sync with main (keras-team#56)

* Minor touch ups

* Fix a pretty major bug

* Format code

* Big rethink of Variable API

* Make build-by-run the default build(), leveraging new zero_history KerasTensor mode

* Minor fixes

* Format code

* Switch back to build-by-eager-run for simplicity

* Add raise upon build failure

* Work around JAX bug.

* Add a few more tests.

* Add saving tests

* Adds test suite for SGD and golden correctness tests for all optimizers (keras-team#40)

* Add golden correctness tests for Adam and SGD

* Fix dtype issues

* Add binary accuracy (keras-team#41)

* chore: adding binary accuracy

* chore: fix docstring

* Add tests for add_loss and activity regularization.

* Reformat code

* Add ActivityRegularization layer

* Fix JAX CI.

* Add Lambda Callback (keras-team#42)

* Add LambdaCallback

* Add Lambda Callback

* Add Lambda Callback

* Rename lambda_callback_test.py

* Add einsum (keras-team#43)

* Add einsum

* address comments

* Fix format line length (keras-team#45)

* Add Embedding layer

* Shorten lines

* Add .vscode to .gitignore (keras-team#46)

* rm vscode settings

* add .vscode to gitignore

* Set demo program backend (keras-team#48)

* Add tests for training arg resolution in Layer.

* Implement mixed precision.

* Replace backend.execute with backend.numpy.XXX (keras-team#50)

* Add cosine similarity loss and update l2_normalize from regularizers (keras-team#34)

* Begin cosine loss

* Add testing for cosine similarity

* Fix formatting

* Docstring standardization

* Formatting

* Create numerical_utils

* Fix issue with call context lingering.

* Add the EarlyStopping callback (keras-team#44)

* add earlystopping callback

* addressing comments

* address comments

* addressing comments

* remove unused imports

* re-enable imports checks (keras-team#51)

* Add nn.one_hot (keras-team#52)

* Add GaussianDropout layer.

* Add GaussianNoise layer

* Add Categorical Accuracy Metric (keras-team#47)

* chore: adding categorical accuracy metric

* chore: reformat docstrings

* chore: reformat

* chore: ndims with len

* refactor the docstring

* Fix typos

* Implement masking.

---------

Co-authored-by: Francois Chollet <francois.chollet@gmail.com>
Co-authored-by: Aritra Roy Gosthipaty <aritra.born2fly@gmail.com>
Co-authored-by: Ramesh Sampath <1437573+sampathweb@users.noreply.github.com>
Co-authored-by: Chen Qian <chenmoney@google.com>
Co-authored-by: Haifeng Jin <5476582+haifeng-jin@users.noreply.github.com>
Co-authored-by: Gabriel Rasskin <43894452+grasskin@users.noreply.github.com>

* Adds rmsprop optimizer and tests

* Add AdamW optimizer and tests, minor formatting changes

* Implemented formatting fixes

* Adds clip norm and clip value tests to Adam

* Adds Adagrad and Adadelta optimizers

* Applies fixes to formatting and deletes unnecessary kwargs

---------

Co-authored-by: Francois Chollet <francois.chollet@gmail.com>
Co-authored-by: Aritra Roy Gosthipaty <aritra.born2fly@gmail.com>
Co-authored-by: Ramesh Sampath <1437573+sampathweb@users.noreply.github.com>
Co-authored-by: Chen Qian <chenmoney@google.com>
Co-authored-by: Haifeng Jin <5476582+haifeng-jin@users.noreply.github.com>
Co-authored-by: Gabriel Rasskin <43894452+grasskin@users.noreply.github.com>
pnacht pushed a commit to pnacht/keras that referenced this issue Nov 10, 2023
@nkovela1 @fchollet
@ariG23498 @sampathweb @chenmoneygithub @haifeng-jin @grasskin
Adds all remaining Keras optimizers (Adamax, Adafactor, Nadam, and Ft…
d9b92ca 
…rl) (keras-team#80)

* Add golden correctness tests for Adam and SGD

* Fix dtype issues

* Sync with main (keras-team#56)

* Minor touch ups

* Fix a pretty major bug

* Format code

* Big rethink of Variable API

* Make build-by-run the default build(), leveraging new zero_history KerasTensor mode

* Minor fixes

* Format code

* Switch back to build-by-eager-run for simplicity

* Add raise upon build failure

* Work around JAX bug.

* Add a few more tests.

* Add saving tests

* Adds test suite for SGD and golden correctness tests for all optimizers (keras-team#40)

* Add golden correctness tests for Adam and SGD

* Fix dtype issues

* Add binary accuracy (keras-team#41)

* chore: adding binary accuracy

* chore: fix docstring

* Add tests for add_loss and activity regularization.

* Reformat code

* Add ActivityRegularization layer

* Fix JAX CI.

* Add Lambda Callback (keras-team#42)

* Add LambdaCallback

* Add Lambda Callback

* Add Lambda Callback

* Rename lambda_callback_test.py

* Add einsum (keras-team#43)

* Add einsum

* address comments

* Fix format line length (keras-team#45)

* Add Embedding layer

* Shorten lines

* Add .vscode to .gitignore (keras-team#46)

* rm vscode settings

* add .vscode to gitignore

* Set demo program backend (keras-team#48)

* Add tests for training arg resolution in Layer.

* Implement mixed precision.

* Replace backend.execute with backend.numpy.XXX (keras-team#50)

* Add cosine similarity loss and update l2_normalize from regularizers (keras-team#34)

* Begin cosine loss

* Add testing for cosine similarity

* Fix formatting

* Docstring standardization

* Formatting

* Create numerical_utils

* Fix issue with call context lingering.

* Add the EarlyStopping callback (keras-team#44)

* add earlystopping callback

* addressing comments

* address comments

* addressing comments

* remove unused imports

* re-enable imports checks (keras-team#51)

* Add nn.one_hot (keras-team#52)

* Add GaussianDropout layer.

* Add GaussianNoise layer

* Add Categorical Accuracy Metric (keras-team#47)

* chore: adding categorical accuracy metric

* chore: reformat docstrings

* chore: reformat

* chore: ndims with len

* refactor the docstring

* Fix typos

* Implement masking.

---------

Co-authored-by: Francois Chollet <francois.chollet@gmail.com>
Co-authored-by: Aritra Roy Gosthipaty <aritra.born2fly@gmail.com>
Co-authored-by: Ramesh Sampath <1437573+sampathweb@users.noreply.github.com>
Co-authored-by: Chen Qian <chenmoney@google.com>
Co-authored-by: Haifeng Jin <5476582+haifeng-jin@users.noreply.github.com>
Co-authored-by: Gabriel Rasskin <43894452+grasskin@users.noreply.github.com>

* Adds rmsprop optimizer and tests

* Add AdamW optimizer and tests, minor formatting changes

* Implemented formatting fixes

* Adds clip norm and clip value tests to Adam

* Adds Adagrad and Adadelta optimizers

* Applies fixes to formatting and deletes unnecessary kwargs

* Adds Adamax and Adafactor and associated tests

* Adds Nadam and Ftrl optimizers and associated tests

---------

Co-authored-by: Francois Chollet <francois.chollet@gmail.com>
Co-authored-by: Aritra Roy Gosthipaty <aritra.born2fly@gmail.com>
Co-authored-by: Ramesh Sampath <1437573+sampathweb@users.noreply.github.com>
Co-authored-by: Chen Qian <chenmoney@google.com>
Co-authored-by: Haifeng Jin <5476582+haifeng-jin@users.noreply.github.com>
Co-authored-by: Gabriel Rasskin <43894452+grasskin@users.noreply.github.com>
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Assignees
No one assigned
Labels
None yet
Projects
None yet
Milestone
No milestone
Development

No branches or pull requests
2 participants
@jfsantos @fchollet