Add Method: MMContext (zero-shot) - Multi-modal embedding model#33
Open
mengerj wants to merge 2 commits into
Open
Add Method: MMContext (zero-shot) - Multi-modal embedding model#33mengerj wants to merge 2 commits into
mengerj wants to merge 2 commits into
Conversation
added 2 commits
April 15, 2026 08:08
…pplies the mmcontext gs10k model in a zero shot fashion. No retraining on the provided training data. Only using the available labels from the training data to constrain the label space for annotation. Normalisation and log-transform are performed within the script as expected by the model.
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
1 participant
Add this suggestion to a batch that can be applied as a single commit.This suggestion is invalid because no changes were made to the code.Suggestions cannot be applied while the pull request is closed.Suggestions cannot be applied while viewing a subset of changes.Only one suggestion per line can be applied in a batch.Add this suggestion to a batch that can be applied as a single commit.Applying suggestions on deleted lines is not supported.You must change the existing code in this line in order to create a valid suggestion.Outdated suggestions cannot be applied.This suggestion has been applied or marked resolved.Suggestions cannot be applied from pending reviews.Suggestions cannot be applied on multi-line comments.Suggestions cannot be applied while the pull request is queued to merge.Suggestion cannot be applied right now. Please check back later.
Describe your changes
Added new method, currently available as pre-print.
Added viash config and scripts and edited CHANGELOG.md
Annotation in a zero-shot manner. Labels from training data are embedded into a joint latent space with count data from test data. Nearest Neighbour matching in embedding space allows annotation.
Checklist before requesting a review
I have performed a self-review of my code
Check the correct box. Does this PR contain:
Proposed changes are described in the CHANGELOG.md
CI Tests succeed and look good!