muooon/EmoNavi
An emotion-driven optimizer that feels loss and navigates accordingly.
This is a specialized optimization tool for training machine learning models, particularly useful for those working with neural networks. It takes your model's performance data (loss values) and intelligently adjusts training parameters like the learning rate. Data scientists and AI researchers can use this to make their models learn more efficiently and stably.
Use this if you need to train complex machine learning models more effectively, especially if you encounter issues like slow convergence, overfitting, or instability during training.
Not ideal if you are a beginner just starting with basic model training and prefer simpler, more widely adopted optimizers.
Stars
16
Forks
2
Language
Python
License
Apache-2.0
Category
Last pushed
Jan 30, 2026
Commits (30d)
0
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