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Search results for second order optimization
second-order-optimization
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16 search results found
Pyhessian
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600
PyHessian is a Pytorch library for second-order based analysis and training of Neural Networks
Adahessian
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190
ADAHESSIAN: An Adaptive Second Order Optimizer for Machine Learning
Epigraph
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106
A C++ interface to formulate and solve linear, quadratic and second order cone problems.
Psgd_torch
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86
Pytorch implementation of preconditioned stochastic gradient descent (affine group preconditioner, low-rank approximation preconditioner and more)
Kfac Pytorch
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70
Distributed K-FAC Preconditioner for PyTorch
Psgd_tf
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34
Tensorflow implementation of preconditioned stochastic gradient descent
Hessianlearn
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24
Hessian based stochastic optimization in TensorFlow and keras
Fedl
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17
FEDL-Federated Learning algorithm using TensorFlow
Optami
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15
This package is dedicated to high-order optimization methods. All the methods can be used similarly to standard PyTorch optimizers.
Done
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14
Federated Learning using PyTorch. Second-Order for Federated Learning. (IEEE Transactions on Parallel and Distributed Systems 2022)
Kbfgs_neurips2020_public
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9
Libs2ml
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9
LIBS2ML: A Library for Scalable Second Order Machine Learning Algorithms
Beyond Gradient Descent
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9
Minimalist deep learning library with first and second-order optimization algorithms made for educational purpose
Pytorchhessianfree
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6
PyTorch implementation of the Hessian-free optimizer
Fedl_pytorch
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5
This repository implements FEDL using pytorch
Subsampled Rtr
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5
Subsampled Riemannian trust-region (RTR) algorithms
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1-16 of 16 search results
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