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stochastic-gradient-descent

Here are 409 public repositories matching this topic...

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…

  • UpdatedDec 16, 2022
  • Jupyter Notebook

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

  • UpdatedDec 14, 2024
  • Python

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

  • UpdatedJun 21, 2018
  • Jupyter Notebook

Matlab implementation of the Adam stochastic gradient descent optimisation algorithm

  • UpdatedFeb 22, 2017
  • MATLAB

Exploiting Explainable Metrics for Augmented SGD [CVPR2022]

  • UpdatedApr 3, 2022
  • Python

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

  • UpdatedJun 15, 2020
  • Python

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

  • UpdatedSep 16, 2018
  • MATLAB

Stochastic gradient descent with model building

  • UpdatedFeb 15, 2023
  • Python

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.

  • UpdatedApr 21, 2022
  • Java

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