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 methods in ML
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,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 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,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
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.