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machine-learning

je-suis-tm / machine-learning

Star 232

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, F…

naive-bayes expectation-maximization support-vector-machine ridge-regression expectation-maximization-algorithm factor-analysis dbscan em-algorithm linear-discriminant-analysis stochastic-gradient-descent latent-semantic-analysis lasso-regression multinomial-naive-bayes singular-value-decomposition batch-gradient-descent sequential-minimal-optimization newton-method low-rank-approximation independent-component-analysis k-nearest-neighbors
  • Updated Dec 16, 2022
  • Jupyter Notebook

hiroyuki-kasai / SGDLibrary

Star 225

MATLAB/Octave library for stochastic optimization algorithms: Version 1.0.20

machine-learning big-data optimization matlab linear-regression machine-learning-algorithms sgd classification logistic-regression gradient optimization-algorithms online-learning gradient-descent-algorithm variance-reduction stochastic-gradient-descent newtons-method stochastic-optimization-algorithms quasi-newton softmax-classification svrg
  • Updated May 11, 2023
  • MATLAB

hiroyuki-kasai / RSOpt

Star 64

Riemannian stochastic optimization algorithms: Version 1.0.3

machine-learning big-data optimization machine-learning-algorithms constrained-optimization sgd manifold nonlinear-optimization optimization-algorithms large-scale-learning online-learning stochastic-optimizers variance-reduction stochastic-gradient-descent nonlinear-optimization-algorithms stochastic-optimization riemannian-manifold riemannian-optimization non-convex-optimization
  • Updated Jan 5, 2023
  • MATLAB

hiroyuki-kasai / OLSTEC

Star 36

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

machine-learning machine-learning-algorithms matrix-factorization tensor online-learning background-subtraction matrix-completion tensor-decomposition subspace-learning low-rank-factorization gradient-descent-algorithm stochastic-gradient-descent cp-decomposition large tensor-cp-decomposition grasta grouse petrels sequential-data-analysis
  • Updated Jan 13, 2023
  • MATLAB

harshraj11584 / Paper-Implementation-Overview-Gradient-Descent-Optimization-Sebastian-Ruder

Star 24

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

adadelta momentum gradient-descent optimization-methods optimization-algorithms adam adagrad rmsprop gradient-descent-algorithm stochastic-optimizers stochastic-gradient-descent gradient-boosting adam-optimizer adamax stochastic-optimization batch-gradient-descent nesterov-accelerated-sgd amsgrad nesterov-momentum nadam
  • Updated Mar 23, 2019
  • Python

evarae / CNN_Tutorial

Star 22

Hi! Thanks for checking out my tutorial where I walk you through the process of coding a convolutional neural network in java from scratch. After building a network for a university assignment, I decided to create a tutorial to (hopefully) help others do the same and improve my own understanding of neural networks.

java machine-learning tutorial ai neural-network machine-learning-algorithms artificial-intelligence mnist neural-networks convolutional-layers mnist-classification mnist-dataset image-classification image-recognition convolution convolutional-neural-networks convolutional-neural-network maxpooling stochastic-gradient-descent
  • Updated Apr 21, 2022
  • Java

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