AI & ML interests

`pip install retrain-pipelines`, automatic retraining, continuous learning, auto-doc, traceability, auditability, versioning

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Wondering if the new version of your model is better than the last ? Did continuous training improve, or decrease perf ? Does sorting through model cards feel like a never-ending chore ?

With retrain-pipelines, you can overlook your model versions, hassle-free  :

with the inspector on the Hub
inspector.webm hub.webm

retrain-pipelines focuses on continuous learning (retraining through dataset updates/refinements), enabling the creation of a new version of a model and the comparison of its performance against that of its best predecessor.

Release v0.1.2 brings integration for the Hugging Face ecosystem. retrain-pipelines runs which take advantage of this do benefit from automated :

  • dataset and model versioning with dynamically-generated READMEs and full fine-grained lineage
  • execution source-code upload
  • execution pipeline-card upload
  • an inspector for model performance history across versions
  • and all other good things that make the retrain-pipelines' DNA, like highly-customizable pipeline templates to get started fast !

models

None public yet