Varun Ullanat

Error with spams package in vahadane stain normalisation with StainNormalizationHE()

1

**Describe the bug** Running the vahadane stain normalisation with StainNormalizationHE() gives the following error: ``` 2023-05-31 19:03:16,903 - distributed.worker - WARNING - Compute Failed Key: apply-0996075e0772a725d8bb46bdb2e46419 Function: apply args: (Tile(coords=(1536,...

PathML 3.0.0: New Features and User Experience Improvements

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This release introduces powerful new features and updates designed to streamline computational pathology workflows and expand the toolkit available to researchers. Here's what's new: New Features: 1. Graph API Integration:...

[BUG] MLflow langchain does not support logging RunnableWithMessageHistory

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### Issues Policy acknowledgement - [X] I have read and agree to submit bug reports in accordance with the [issues policy](https://www.github.com/mlflow/mlflow/blob/master/ISSUE_POLICY.md) ### Where did you encounter this bug? Databricks ###...

Random crop during training

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Hello, This question is regarding the 'random_crop_to_size' transform [here](https://github.com/aqlaboratory/openfold/blob/f37d0d964d24b20494776b7f5643113dd584126c/openfold/data/data_transforms.py#L1183). Is the protein cropped at different locations across the different epochs during training or are they cropped the same way? Thanks!