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Search results for c plus plus sgd

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Mobilenetv2 ⭐ 137

Ftrl_proximal_lr ⭐ 123

Multithreaded Asynchronous FTRL Proximal Implementation

Ffm_mpi ⭐ 101

LR、FM model solved by ftrl and sgd parallel on MPI

Cumf_sgd ⭐ 62

CUDA Matrix Factorization Library with Stochastic Gradient Descent (SGD)

An R package for large scale estimation with stochastic gradient descent

[outdated] Beatmania IIDX and Sound Voltex hybrid controller

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.)

A light-weight matrix factorization tool

Logistic Regression Sgd ⭐ 31

L1-regularized logistic regression using stochastic gradient descent [machine learning]

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.)

Bottou Sgd ⭐ 30

Leon Bottou's SGD

Factorizationmachine ⭐ 16

implementation of factorization machine, support classification.

Mnist_toy ⭐ 10

供机器学习初学者参考

MXNet-G is a deep learning framework designed based on MXNet (https://mxnet.incubator.apache.org/index.html). It allows you to train models with a novel distributed SGD (Stochastic Gradient Descent) algorithm named Grouping-SGD. A new parallelization scheme named GSP (Grouping Synchronous Parallel) is used in Grouping-SGD for distributed deep learning on heterogeneous clusters.

Scalable Variational Bayesian Factorization Machine ⭐ 8

Scalable Variational Bayesian inference algorithm for FM is developed which converges faster than the existing state-of-the-art MCMC based inference algorithm. Additionally, a stochastic variational Bayesian algorithm for FM is introduced for large scale learning which utilizes SGD.

Implementations of various parallel algorithms for matrix factorization (including DSGD++)

A demo for VR-SGD(Comparing to some state-of-the-art algorithms).

Experimental code of stochastic optimization methods (Averaged SGD, SVRG, SAGA, and AMSVRG ...) for linear models.

Caffe Adamw Adamwr ⭐ 7

Implementation of AdamW and AdamWR Algorithms in caffe.

Crfpp Extensions ⭐ 6

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

Pidcontroller ⭐ 6

C++ implementation of a PID Controller to control the steering angle in the simulator

Parameter_server ⭐ 5

Neural Network ⭐ 5

Statically-linked deep learning library written in C++ from scratch

Logistic Regression ⭐ 5

逻辑回归by bgd and sgd

Online Lr ⭐ 5

online logistic regression with l1 regularization

yet another machine learning toolkit.

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1-26 of 26 search results

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