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Create a CONTRIBUTING.MD guide #34
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I think that we need to add a See pages 41 and 85 in: https://chaoss.community/wp-content/uploads/2021/10/English-Release-2021-10-21.pdf |
Additional notes:
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Done. |
freedomtan
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…eras-team#34) * Begin cosine loss * Add testing for cosine similarity * Fix formatting * Docstring standardization * Formatting * Create numerical_utils
freedomtan
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* 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>
freedomtan
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Jul 20, 2023
…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>
freedomtan
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Jul 20, 2023
…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>
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From a PR review:
We want an adoption metric of some kind, and a citation threshold (~50) is a convenient metric.
We'll try. Someone who contributes a component will be called to fix issues with it if any arise.
Deprecation decisions are always the result of cost/benefits analysis. The picture varies from component to component and over the lifetime of the repo. It's a case by case basis.
Yes, this is mostly information that should go in the contributors' guide.
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