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PyHessian is a Pytorch library for second-order based analysis and training of Neural Networks
Created
2019-11-20
40 commits to master branch, last one about a year ago
ADAHESSIAN: An Adaptive Second Order Optimizer for Machine Learning
Created
2020-05-24
67 commits to master branch, last one about a year ago
Pytorch implementation of preconditioned stochastic gradient descent (Kron and affine preconditioner, low-rank approximation preconditioner and more)
Created
2018-04-07
173 commits to master branch, last one 2 months ago
A C++ interface to formulate and solve linear, quadratic and second order cone problems.
Created
2020-06-29
98 commits to master branch, last one 3 years ago
Distributed K-FAC Preconditioner for PyTorch
Created
2020-02-16
657 commits to main branch, last one 6 days ago
An implementation of PSGD Kron second-order optimizer for PyTorch
Created
2024-09-29
66 commits to main branch, last one 5 days ago
PyTorch implementation of the Hessian-free optimizer
Created
2022-07-11
104 commits to main branch, last one 8 months ago
Implementation of PSGD optimizer in JAX
Created
2024-07-13
71 commits to main branch, last one about a month ago