Topic: second-order-optimization Goto Github
Some thing interesting about second-order-optimization
Some thing interesting about second-order-optimization
second-order-optimization,ADAHESSIAN: An Adaptive Second Order Optimizer for Machine Learning
User: amirgholami
second-order-optimization,PyHessian is a Pytorch library for second-order based analysis and training of Neural Networks
User: amirgholami
second-order-optimization,Regularization, Bayesian Model Selection and k-fold Cross-Validation Selection
User: aniruddhavpatil
second-order-optimization,Minimalist deep learning library with first and second-order optimization algorithms made for educational purpose
User: antoinepassemiers
Home Page: https://antoinepassemiers.github.io/Beyond-Gradient-Descent/
second-order-optimization,Federated Learning using PyTorch. Second-Order for Federated Learning. (IEEE Transactions on Parallel and Distributed Systems 2022)
User: charliedinh
second-order-optimization,FEDL-Federated Learning algorithm using TensorFlow (Transaction on Networking 2021)
User: charliedinh
second-order-optimization,This repository implements FEDL using pytorch
User: charliedinh
second-order-optimization,A curated list of resources for second-order stochastic optimization
User: cor3bit
second-order-optimization,Stochastic Second-Order Methods in JAX
User: cor3bit
second-order-optimization,Newton’s second-order optimization methods in python
User: dahyun-kang
second-order-optimization,Adaptive Linesearch Algorithm
User: edoardo-tronci
second-order-optimization,Solve DNN relaxations of nonconvex quadratic programming problems.
User: elated-sawyer
second-order-optimization,A C++ interface to formulate and solve linear, quadratic and second order cone problems.
User: embersarc
second-order-optimization,A collection of second-order optimizers and experiments in JAX
User: evanatyourservice
second-order-optimization,Implementation of PSGD optimizer in JAX
User: evanatyourservice
second-order-optimization,An efficient and easy-to-use Theano implementation of the stochastic Gauss-Newton method for training deep neural networks.
User: gmatilde
second-order-optimization,Distributed K-FAC Preconditioner for PyTorch
User: gpauloski
second-order-optimization,Subsampled Riemannian trust-region (RTR) algorithms
User: hiroyuki-kasai
second-order-optimization,FOSI library for improving first order optimizers with second order information
User: hsivan
second-order-optimization,The repository contains code to reproduce the experiments from our paper Error Feedback Can Accurately Compress Preconditioners available below:
Organization: ist-daslab
Home Page: https://arxiv.org/abs/2306.06098
second-order-optimization,LIBS2ML: A Library for Scalable Second Order Machine Learning Algorithms
User: jmdvinodjmd
second-order-optimization,Compatible Intrinsic Triangulations (SIGGRAPH 2022)
User: kenshi84
second-order-optimization, An accelerated active‑set algorithm for a quadratic semidefinite program with general constraints
User: leotau2018
second-order-optimization,Tensorflow implementation of preconditioned stochastic gradient descent
User: lixilinx
second-order-optimization,Pytorch implementation of preconditioned stochastic gradient descent (affine group preconditioner, low-rank approximation preconditioner and more)
User: lixilinx
second-order-optimization,PyTorch implementation of the Hessian-free optimizer
User: ltatzel
second-order-optimization,This directory contains the source code of the experiments as shown in our main paper. It is still work in progress.
User: mizhaan23
second-order-optimization,This package is dedicated to high-order optimization methods. All the methods can be used similarly to standard PyTorch optimizers.
Organization: optami
second-order-optimization,Learning Network using Hessian Optimization in PyTorch
User: peachypie98
second-order-optimization,Second-Order Convergence of Alternating Minimizations
User: qiuweili
second-order-optimization,
User: renyiryry
second-order-optimization,
User: renyiryry
second-order-optimization,Discussion of advantages and disadvantages of AdaHessian, a state-of-the-art Second Order Methods over First Order Methods on a Non-Convex Optimization Problem (digits classification on MNIST database using ResNet18). - @ EPFL
User: riccardocadei
second-order-optimization,Numpy implementation of Neural Networks with SGDM, ADAM and BFGS solvers, suitable for surface fitting
User: s0852306
second-order-optimization,Concepts and algorithms in core learning theory
User: sayarghoshroy
second-order-optimization,Hessian-based stochastic optimization in TensorFlow and keras
User: tomoleary
second-order-optimization,Prototyping of matrix free Newton methods in Julia
User: tomoleary
second-order-optimization,Super-Convergence on CIFAR10
User: vinnik-dmitry07
second-order-optimization,NG+: A new second-order optimizer for deep learning
User: yangorwell
second-order-optimization,Matrix-multiplication-only KFAC; Code for ICML 2023 paper on Simplifying Momentum-based Positive-definite Submanifold Optimization with Applications to Deep Learning
User: yorkerlin
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