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Search results for optimization sgd

30 search results found

Sgdlibrary ⭐ 181

MATLAB/Octave library for stochastic optimization algorithms: Version 1.0.20

Bilevel Optimization Library in Python for Multi-Task and Meta Learning

Powersgd ⭐ 112

Practical low-rank gradient compression for distributed optimization: https://arxiv.org/abs/1905.13727

Adaptive Inertia Adai ⭐ 94

The PyTorch Implementation of Adaptive Inertia Methods. The algorithms are based on our ICML2022 Oral paper: "Adaptive Inertia: Disentangling the Effects of Adaptive Learning Rate and Momentum".

Implementation of the Deep Frank-Wolfe Algorithm -- Pytorch

Riemannian stochastic optimization algorithms: Version 1.0.3

Neural Net Optimization ⭐ 49

PyTorch implementations of recent optimization algorithms for deep learning.

Kfac Pytorch ⭐ 47

Pytorch implementation of KFAC and E-KFAC (Natural Gradient).

Deep Learning Optimization Algorithms ⭐ 37

Visualization of various deep learning optimization algorithms using PyTorch automatic differentiation and optimizers.

Automatic and Simultaneous Adjustment of Learning Rate and Momentum for Stochastic Gradient Descent

A Tour Of Pytorch Optimizers ⭐ 30

A tour of different optimization algorithms in PyTorch.

A C++ toolkit for Convex Optimization (Logistic Loss, SVM, SVR, Least Squares etc.), Convex Optimization algorithms (LBFGS, TRON, SGD, AdsGrad, CG, Nesterov etc.) and Classifiers/Regressors (Logistic Regression, SVMs, Least Squares Regression etc.)

Code for IoT Journal paper title 'ML-MCU: A Framework to Train ML Classifiers on MCU-based IoT Edge Devices'

RBF Network using Theano, climin, and sklearn.

Neural Holography ⭐ 18

Code and data for Neural Holography

Gradient Energy Matching ⭐ 17

Manuscript and code for the paper "Gradient Energy Matching for Distributed Asynchronous Gradient Descent".

Scala Data Science ⭐ 15

Data Science in Scala - Conf. Talk Repo

Pacbayes Opt ⭐ 14

Optimizing PAC-Bayes bounds for Stochastic Neural Networks with Gaussian weights

Optimize ⭐ 12

Optimization Library

Sgd Slam ⭐ 12

Stochastic Gradient Descent SLAM in JavaScript/HTML5. Implementation of SLAM by SGD graph optimization by Olson et al. (2006)

Spherical Perspective on Learning with Batch Norm - New optimization schemes

Optimization For Data Science ⭐ 7

Optimization for Data Science Course

Implementation for "Surrogate Losses for Online Learning of Stepsizes in Stochastic Non-Convex Optimization"

Simpledeepnettoolbox ⭐ 7

Simple MATLAB toolbox for deep learning network: Version 1.0.3

Pytorch_nersc_wheel ⭐ 7

PyTorch wheel installation file with performance optimization on CPU

Time Series Model ⭐ 6

Model time series with multiple methods,including ARIMA ,ES,RNN,LSTM...

Crfpp Extensions ⭐ 6

CRF++-0.58 extended with a few stochastic gradient based optimization routines

Path-SGD: Path-Normalized Optimization in Deep Neural Networks

Sgd Exponential Cosine Stepsize ⭐ 5

Implementation of the paper "Exponential Step Sizes for Non-Convex Optimization"

Implementation of Redundancy Infused SGD for faster distributed SGD.

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