LoganBooker/prodigy-plus-schedule-free
Prodigy and Schedule-Free, together at last.
This tool helps machine learning engineers and researchers streamline their deep learning model training. It processes model parameters and training data, automatically adjusting the learning rate and other critical settings, eliminating the need for manual hyperparameter tuning. The output is a more efficiently trained model, allowing practitioners to focus on model architecture and data.
Used by 1 other package. No commits in the last 6 months. Available on PyPI.
Use this if you are training deep learning models and want to reduce the time and effort spent on manually configuring learning rates and schedulers, especially for large models or complex datasets.
Not ideal if you need to resume training from an older version of this optimizer, as breaking changes in v2.0.0 prevent compatibility, or if your training framework doesn't support generic fused backward pass.
Stars
89
Forks
8
Language
Python
License
Apache-2.0
Category
Last pushed
Sep 27, 2025
Commits (30d)
0
Dependencies
1
Reverse dependents
1
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