xingjian-bai /
opal
OPAL: a reactive optimizer. A coding agent rewrites the optimizer while your model trains.
Updated 8 min ago
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Version v0.3.10 came out on November 3.
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In short
Needs PyTorch and a coding agent such as Claude Code to rewrite the optimizer during training. It wraps an existing PyTorch optimizer in one line and works as a library in your training script.
Summary written by AI from the repository’s description and README.
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Reached on October 25, 2026
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xingjian-bai / opal
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