second-order-optimization 开源项目推荐（57 个）

amirgholami /PyHessian

PyHessian is a Pytorch library for second-order based analysis and training of Neural Networks

amirgholami /adahessian

ADAHESSIAN: An Adaptive Second Order Optimizer for Machine Learning

lixilinx /psgd_torch

预条件随机梯度下降的 Pytorch 实现（Kron 与仿射预条件器、低秩近似预条件器及更多）

EmbersArc /Epigraph

A C++ interface to formulate and solve linear, quadratic and second order cone problems.

evanatyourservice /kron_torch

An implementation of PSGD Kron second-order optimizer for PyTorch

gpauloski /kfac-pytorch

Distributed K-FAC preconditioner for PyTorch

CharlieDinh /FEDL

FEDL-Federated Learning algorithm using TensorFlow (Transaction on Networking 2021)

CharlieDinh /FEDL_pytorch

This repository implements FEDL using pytorch

evanatyourservice /psgd_jax

Implementation of PSGD optimizer in JAX

ltatzel /PyTorchHessianFree

PyTorch implementation of the Hessian-free optimizer

lixilinx /psgd_tf

Tensorflow implementation of preconditioned stochastic gradient descent

OPTAMI /OPTAMI

This package is dedicated to high-order optimization methods. All the methods can be used similarly to standard PyTorch optimizers.

tomoleary /hessianlearn

Hessian-based stochastic optimization in TensorFlow and keras

kenshi84 /compatible-intrinsic-triangulations

Compatible Intrinsic Triangulations (SIGGRAPH 2022)

renyiryry /kbfgs_neurips2020_public

该项目在 GitHub 上没有填写描述

junaidaliop /zij

A canon of deep learning optimizers.

CharlieDinh /DONE

Federated Learning using PyTorch. Second-Order for Federated Learning. (IEEE Transactions on Parallel and Distributed Systems 2022)

inikishev /torchzero

Modular optimization library for PyTorch (work-in-progress).

jmdvinodjmd /LIBS2ML

LIBS2ML: A Library for Scalable Second Order Machine Learning Algorithms

AntoinePassemiers /Beyond-Gradient-Descent

Minimal deep learning library with first and second-order optimization algorithms made for educational purpose