Comments (1)
We are very interested in helping to make this happen, but unfortunately, we have zero familiarity with ONNX.
Separately, we've found that torch compile
doesn't work with Casanovo (though I don't know the details there). Perhaps these are related issues.
If there is anything specific we can help with, please let us know.
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Related Issues (20)
- Using HDF5 file as train/val dataset leads to index out of bound error HOT 9
- No Models Saved, No Validation Loss Reported HOT 3
- Save final model HOT 1
- how to train casanovo v4 on huge dataset like massive-kb from scratch? HOT 3
- What is the criteria of saving the top k models in Casanovo version 4? HOT 1
- add additional inputs to encoder and decoder HOT 1
- Add contrastive loss term
- Implement bidirectional decoding HOT 1
- Add rotary embeddings
- mzTab validation
- Automate mzTab validation HOT 7
- More information about the train/val/test split HOT 2
- WARNING: Skipped spectra with invalid precursor info HOT 1
- ValueError: The truth value of an array with more than one element is ambiguous. Use a.any() or a.all() HOT 3
- Make Casanovo produce Skyline compatible output
- 9-Species Benchmark Set: Data Preprocessing Step? HOT 5
- Migrating PeptideMass, PeptideDecoder, and PeptideEncoder from depthcharge v0.2.3 to casanovo HOT 3
- Is there a way to know which spectras are ITMS instead of FTMS? HOT 3
- Numpy release 2.0.0 breaks depthcharge dependency HOT 2
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