microsoft
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InnerEye-DeepLearning
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InnerEye-DeepLearning/.amlignore

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Reduce AML snapshot size by skipping test folders (#497) This cuts down about 15MB of data per job submission
2021-06-22 16:47:17 +03:00
.idea
Add source code
2020-07-28 22:00:35 +03:00
.git
.azureml
.pytest_cache
.mypy_cache
Reduce AML snapshot size by skipping test folders (#497) This cuts down about 15MB of data per job submission
2021-06-22 16:47:17 +03:00
.github
.amlignore
.coveragerc
.editorconfig
.flake8
.gitattributes
.gitconfig
.gitignore
.gitmodules
CODE_OF_CONDUCT.md
GeoPol.xml
most_recent_run.txt
mypy.ini
mypy_runner.py
pull_request_template.md
SECURITY.md
Add source code
2020-07-28 22:00:35 +03:00
__pycache__
Bug fix for regression test (#496) - The regresssion test code in #492 missed out files in AzureML, because the wrong function was called in the main workflow. - Cleaner folder structure for regression test results
2021-06-21 16:39:09 +03:00
azure-pipelines
Add histopathology module and add hi-ml as submodule (#603) * Add hi-ml submodule * Add Histopathology module * Add tests * update azure scripts * Address PR comments * mypy * Add changelog * Add hi-ml submodule Add Histopathology module Add tests update azure scripts Address PR comments mypy Add changelog Changes label * turn off logging outside of AML for now to get tests to pass * flake8 * flake8 * flake8 * Bug in init file * eclude histopathology datasets module from amlignore * exclude histopathology datasets module from amlignore * exclude histopathology datasets module from amlignore * exclude histopathology datasets module from amlignore * exclude histopathology datasets module from gitignore * exclude histopathology datasets module from gitignore * Address PR comments * Address PR comments * Minor change to requeue build
2021-12-06 20:23:17 +03:00
/datasets
Reduce AML snapshot size by skipping test folders (#497) This cuts down about 15MB of data per job submission
2021-06-22 16:47:17 +03:00
docs
sphinx-docs
Load model weights from URL or local checkpoint (#282) - Adds a parameter `weights_url` to DeepLearningConfig to download model weights from a URL. - Adds a parameter `local_weights_path` to DeepLearningConfig to initialize model weights from a local checkpoint. This can also be used to perform inference on a checkpoint from a local training run. - Refactors all checkpoint logic, including recovering from run_recovery into a class CheckpointHandler - Adds a parameter `epochs_to_test` to DeepLearningConfig which can be used to specify a list of epochs to test in a training/inference run. - Deprecates DeepLearningConfig parameters `test_diff_epochs`, `test_step_epochs` and `test_start_epoch`. Closes #178 Closes #297
2020-11-03 17:47:35 +03:00
modelweights
Add source code
2020-07-28 22:00:35 +03:00
outputs
logs
Generate python notebook and html report for segmentation models (#200) closes #180
2020-09-22 11:53:38 +03:00
test_outputs
run_outputs
Add source code
2020-07-28 22:00:35 +03:00
# Test output from model registration
TestsOutsidePackage/azureml-models
Improve GPU resource monitoring (#296) - Compute aggregate metrics over the whole training run - Get allocated and reserved memory - Store aggregate metrics in AzureML Note, diagnostic metrics are no longer stored in AzureML. Tensorboard is better for vast amounts of metrics.
2020-10-26 19:44:08 +03:00
tensorboard_runs
Enable multi-node training (#385) - Enable training on multiple machines in AzureML - Exclude private settings files from AzureML snapshot
2021-02-08 17:21:50 +03:00
InnerEyeTestVariables.txt
InnerEyePrivateSettings.yml
Add self-supervised learning capabilities to InnerEye (#440)
2021-05-07 16:27:38 +03:00
cifar-10-batches-py
Add histopathology module and add hi-ml as submodule (#603) * Add hi-ml submodule * Add Histopathology module * Add tests * update azure scripts * Address PR comments * mypy * Add changelog * Add hi-ml submodule Add Histopathology module Add tests update azure scripts Address PR comments mypy Add changelog Changes label * turn off logging outside of AML for now to get tests to pass * flake8 * flake8 * flake8 * Bug in init file * eclude histopathology datasets module from amlignore * exclude histopathology datasets module from amlignore * exclude histopathology datasets module from amlignore * exclude histopathology datasets module from amlignore * exclude histopathology datasets module from gitignore * exclude histopathology datasets module from gitignore * Address PR comments * Address PR comments * Minor change to requeue build
2021-12-06 20:23:17 +03:00
cifar-100-python
!**/InnerEye/ML/Histopathology/datasets
ENH: Fix logging + model registration for Amulet runs (#804) Adds functionality to properly log IE-DL outputs and register trained models when running jobs through amulet.
2022-09-30 13:42:38 +03:00
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