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stochastic-gradient-descent

Here are 372 public repositories matching this topic...

Suji04 / ML_from_Scratch

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

python linear-regression logistic-regression gradient-descent decision-tree-classifier youtube-channel stochastic-gradient-descent decision-tree-regression k-means-clustering knn-algorithm

Updated Feb 26, 2021
Jupyter Notebook

hiroyuki-kasai / SGDLibrary

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

machine-learning

je-suis-tm / machine-learning

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

gyrdym / ml_algo

Machine learning algorithms in Dart programming language

Updated Jan 2, 2024
Dart

aditya9211 / Blur-and-Clear-Classification

Classifying the Blur and Clear Images

Updated Oct 3, 2023
Python

lixilinx / psgd_torch

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

deep-learning pytorch lie-groups optimization-algorithms stochastic-gradient-descent preconditioner low-rank-approximation second-order-optimization affine-group hessian-vector-product

Updated Mar 28, 2024
Python

hiroyuki-kasai / RSOpt

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

mynkpl1998 / Deep-Learning-Optimization-Algorithms

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

deep-learning python3 pytorch adadelta optimization-algorithms convex-optimization stochastic-gradient-descent saddlepoint-approximation adamoptimizer non-convex-optimization

Updated Jun 21, 2018
Jupyter Notebook

DylanMuir / fmin_adam

Matlab implementation of the Adam stochastic gradient descent optimisation algorithm

optimization matlab gradient-descent optimization-algorithms stochastic-gradient-descent

Updated Feb 22, 2017
MATLAB

mahdihosseini / RMSGD

Exploiting Explainable Metrics for Augmented SGD [CVPR2022]

deep-learning pytorch convolutional-neural-networks stochastic-gradient-descent

Updated Apr 3, 2022
Python

polyfem / polysolve

Easy-to-use linear and non-linear solver

wrapper newton cpp eigen pardiso suitesparse solvers nonlinear-optimization adam stochastic-gradient-descent linear-solvers linesearch hypre iterative-solvers amgcl lbfgs-optimizer

Updated May 2, 2024
C++

qandeelabbassi / python-svm-sgd

Python implementation of stochastic sub-gradient descent algorithm for SVM from scratch

python machine-learning numpy pandas support-vector-machines stochastic-gradient-descent

Updated Jun 15, 2020
Python

ChunyuanLI / pSGLD

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

mcmc stochastic-gradient-descent preconditioner sampling-methods

Updated Sep 16, 2018
MATLAB

lixilinx / psgd_tf

Tensorflow implementation of preconditioned stochastic gradient descent

deep-learning tensorflow lie-groups optimization-algorithms stochastic-gradient-descent preconditioner low-rank-approximation second-order-optimization affine-group hessian-vector-product

Updated Nov 23, 2023
Python

hiroyuki-kasai / OLSTEC

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

xcsf-dev / xcsf

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

machine-learning reinforcement-learning neuroevolution least-squares genetic-programming neural-networks supervised-learning evolutionary-algorithms unsupervised-learning online-learning learning-classifier-systems stochastic-gradient-descent divide-and-conquer rule-based xcs xcsf

Updated Apr 1, 2024
C

sibirbil / SMB

Stochastic gradient descent with model building

machine-learning deep-learning second-order stochastic-gradient-descent model-building convergence-analysis

Updated Feb 15, 2023
Python

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

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

Updated Mar 23, 2019
Python

gcampanella / pydata-london-2018

Slides and notebooks for my tutorial at PyData London 2018

tutorial deep-learning optimization pydata linear-programming survival-analysis gradient-descent quadratic-programming convex-optimization elastic-net stochastic-gradient-descent maximum-likelihood-estimation quantile-regression multilayer-perceptron

Updated Jul 2, 2018
Jupyter Notebook

rafi007akhtar / Digit-Classifier

Wrote a neural network that uses fundamental DL algorithms to identify handwritten digits from MNIST dataset.

classifier deep-learning neural-networks mnist-dataset stochastic-gradient-descent mnist-handwriting-recognition

Updated Sep 19, 2018
Jupyter Notebook

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