MLX Optimizers
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Description
A library to experiment with new optimization algorithms in MLX.
- Diverse Exploration: includes proven and experimental optimizers like DiffGrad, QHAdam, and others.
- Easy Integration: compatible with MLX for straightforward experimentation and downstream adoption.
- Benchmark Examples: enables quick testing on classic optimization and machine learning task
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