second-order-optimization topic
Epigraph
A C++ interface to formulate and solve linear, quadratic and second order cone problems.
adahessian
ADAHESSIAN: An Adaptive Second Order Optimizer for Machine Learning
PyHessian
PyHessian is a Pytorch library for second-order based analysis and training of Neural Networks
psgd_torch
Pytorch implementation of preconditioned stochastic gradient descent (affine group preconditioner, low-rank approximation preconditioner and more)
psgd_tf
Tensorflow implementation of preconditioned stochastic gradient descent
kfac-pytorch
Distributed K-FAC Preconditioner for PyTorch
DONE
Federated Learning using PyTorch. Second-Order for Federated Learning. (IEEE Transactions on Parallel and Distributed Systems 2022)
FEDL
FEDL-Federated Learning algorithm using TensorFlow (Transaction on Networking 2021)
FEDL_pytorch
This repository implements FEDL using pytorch
compatible-intrinsic-triangulations
Compatible Intrinsic Triangulations (SIGGRAPH 2022)