ADAHESSIAN: An Adaptive Second Order Optimizer for Machine Learning
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Feb 27, 2023 - Python
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second-order-optimization
Here are 26 public repositories matching this topic...
Pytorch implementation of preconditioned stochastic gradient descent (Kron and affine preconditioner, low-rank approximation preconditioner and more)
deep-learning pytorch lie-groups optimization-algorithms stochastic-gradient-descent preconditioner low-rank-approximation kronecker-factored-approximation second-order-optimization affine-group hessian-vector-product
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May 7, 2025 - Python
An implementation of PSGD Kron second-order optimizer for PyTorch
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Mar 29, 2025 - Python
Distributed K-FAC preconditioner for PyTorch
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May 6, 2025 - Python
FEDL-Federated Learning algorithm using TensorFlow (Transaction on Networking 2021)
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Nov 29, 2020 - Python
This repository implements FEDL using pytorch
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Nov 6, 2020 - Python
PyTorch implementation of the Hessian-free optimizer
deep-neural-networks deep-learning conjugate-gradient optimization-algorithms stochastic-optimizers newtons-method matrix-free second-order-optimization hessian-free pytorch-implementation ggn
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Jun 14, 2024 - Python
Tensorflow implementation of preconditioned stochastic gradient descent
deep-learning tensorflow lie-groups optimization-algorithms stochastic-gradient-descent preconditioner low-rank-approximation second-order-optimization affine-group hessian-vector-product
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Nov 23, 2023 - Python
Implementation of PSGD optimizer in JAX
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Dec 31, 2024 - Python
Hessian-based stochastic optimization in TensorFlow and keras
tensorflow optimization keras optimization-algorithms stochastic-optimization newton-method second-order-optimization
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Mar 29, 2022 - Python
This package is dedicated to high-order optimization methods. All the methods can be used similarly to standard PyTorch optimizers.
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Jan 12, 2025 - Python
Minimalist deep learning library with first and second-order optimization algorithms made for educational purpose
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Aug 1, 2023 - Python
FOSI library for improving first order optimizers with second order information
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Mar 21, 2024 - Python
The repository contains code to reproduce the experiments from our paper Error Feedback Can Accurately Compress Preconditioners available below:
computer-vision deep-learning top-k language-model low-rank-approximation second-order-optimization ggt adaptive-gradient-method full-matrix-preconditioning m-fac
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Sep 12, 2023 - Python
Newton’s second-order optimization methods in python
optimization-algorithms newtons-method quasi-newton newton-method second-order-optimization quasi-newton-method
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Jun 8, 2022 - Python
Modular optimization library for PyTorch.
optimization pytorch gradient-descent optimization-algorithms newton-raphson second-order-optimization derivative-free-optimization gradient-free-optimization zeroth-order-optimization optimizers grafting gradient-approximations first-order-optimization
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May 8, 2025 - Python
Matrix-multiplication-only KFAC; Code for ICML 2023 paper on Simplifying Momentum-based Positive-definite Submanifold Optimization with Applications to Deep Learning
deep-learning fisher optimizer optimization-methods natural-gradients kfac second-order-optimization hessian-free pytorch-implementation
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Jul 28, 2023 - Python
NG+: A new second-order optimizer for deep learning
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Nov 13, 2022 - Python
Stochastic Second-Order Methods in JAX
machine-learning gauss-newton-method quasi-newton stochastic-optimization jax second-order-optimization hessian-free natural-gradient
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Sep 23, 2024 - Python
sophia optimizer further projected towards flat areas of loss landscape
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Dec 19, 2024 - Python
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