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A library to experiment with new optimization algorithms in MLX.
import mlx_optimizers as optim
#... model, grads, etc.
optimizer = optim.DiffGrad(learning_rate=0.001)
optimizer.update(model, grads)
Coming to pip soon! :tada:
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