Pytorch implementation of preconditioned stochastic gradient descent (Kron and affine preconditioner, low-rank approximation preconditioner and more)
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Updated
Sep 1, 2025 - Python
Pytorch implementation of preconditioned stochastic gradient descent (Kron and affine preconditioner, low-rank approximation preconditioner and more)
Tensorflow implementation of preconditioned stochastic gradient descent
Using PyTorch autograd to compute Hessian of Perplexity for Large Language Models
FOSI library for improving first order optimizers with second order information
🧐 Calculating exact and approximate confidence and information metrics for deep learning on general purpose and chemistry tasks.
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