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Search results for stochastic gradient descent

stochastic-gradient-descent x

32 search results found

Sgdlibrary ⭐ 181

MATLAB/Octave library for stochastic optimization algorithms: Version 1.0.20

Ml_algo ⭐ 171

Machine learning algorithms in Dart programming language

Machine Learning ⭐ 117

Python machine learning applications in image processing, recommender system, matrix completion, netflix problem and algorithm implementations including Co-clustering, Funk SVD, SVD++, Non-negative Matrix Factorization, Koren Neighborhood Model, Koren Integrated Model, Dawid-Skene, Platt-Burges, Expectation Maximization, Factor Analysis, ISTA, FISTA, ADMM, Gaussian Mixture Model, OPTICS, DBSCAN, Random Forest, Decision Tree, Support Vector Machine, Independent Component Analysis, Latent Semantic

Psgd_torch ⭐ 86

Pytorch implementation of preconditioned stochastic gradient descent (affine group preconditioner, low-rank approximation preconditioner and more)

Blur And Clear Classification ⭐ 56

Classifying the Blur and Clear Images

Riemannian stochastic optimization algorithms: Version 1.0.3

Polysolve ⭐ 38

Easy-to-use linear and non-linear solver

Deep Learning Optimization Algorithms ⭐ 37

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

Retailbox ⭐ 34

🛍️RetailBox - eCommerce Recommender System using Machine Learning

Tensorflow implementation of preconditioned stochastic gradient descent

Exploiting Explainable Metrics for Augmented SGD [CVPR2022]

OnLine Low-rank Subspace tracking by TEnsor CP Decomposition in Matlab: Version 1.0.1

AAAI & CVPR 2016: Preconditioned Stochastic Gradient Langevin Dynamics (pSGLD)

XCSF learning classifier system: rule-based online evolutionary machine learning

Stochastic gradient descent with model building

Fmin_adam ⭐ 21

Matlab implementation of the Adam stochastic gradient descent optimisation algorithm

Pydata London 2018 ⭐ 20

Slides and notebooks for my tutorial at PyData London 2018

Ml_from_scratch ⭐ 16

Implementation of basic ML algorithms from scratch in python...

Variants Of Rmsprop And Adagrad ⭐ 13

SC-Adagrad, SC-RMSProp and RMSProp algorithms for training deep networks proposed in

Yelp Recommendation System ⭐ 10

Recommend Restaurants to User based on the ratings given by them to the restaurants

Ddpg_numpy_only ⭐ 9

Implemenation of DDPG with numpy only (without Tensorflow)

Simpledeepnettoolbox ⭐ 7

Simple MATLAB toolbox for deep learning network: Version 1.0.3

Deep Learning ⭐ 7

Implemented the deep learning techniques using Google Tensorflow that cover deep neural networks with a fully connected network using SGD and ReLUs; Regularization with a multi-layer neural network using ReLUs, L2-regularization, and dropout, to prevent overfitting; Convolutional Neural Networks (CNNs) with learning rate decay and dropout; and Recurrent Neural Networks (RNNs) for text and sequences with Long Short-Term Memory (LSTM) networks.

Parametric estimation of multivariate Hawkes processes with general kernels.

Paper Implementation Overview Gradient Descent Optimization Sebastian Ruder ⭐ 7

[Python] [arXiv/cs] Paper "An Overview of Gradient Descent Optimization Algorithms" by Sebastian Ruder

Go Neural Network ⭐ 7

Modifiable neural network

Coursera Uw Machine Learning Classification ⭐ 6

Notebook for quick search

Gradient Descent Variants ⭐ 6

My implementation of Batch, Stochastic & Mini-Batch Gradient Descent Algorithm using Python

Ml_accountingfraud ⭐ 6

This repository includes the scripts to replicate the results of my WORKING paper entitled "A Machine Learning Approach to Detect Accounting Frauds". You can access a copy of the manuscript at https://papers.ssrn.com/sol3/papers.cfm?abstract_i

ICLR 2021: Noise against noise: stochastic label noise helps combat inherent label noise

PyDTNN - Python Distributed Training of Neural Networks

Subsampled Rtr ⭐ 5

Subsampled Riemannian trust-region (RTR) algorithms

1-32 of 32 search results

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