stochastic-gradient-descent

MATLAB library for non-negative matrix factorization (NMF): Version 1.8.1

MATLAB/Octave library for stochastic optimization algorithms: Version 1.0.20

Machine learning algorithms in Dart programming language

Classifying the Blur and Clear Images

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

Riemannian stochastic optimization algorithms: Version 1.0.3

Python machine learning applications in image processing and algorithm implementations including Dawid-Skene, Platt-Burges, Expectation Maximization, Factor Analysis, Gaussian Mixture Model, OPTICS, DBSCAN, Random Forest, Decision Tree, Support Vector Machine, Independent Component Analysis, Latent Semantic Indexing, Principal Component Analysis, Singular Value Decomposition, K Nearest Neighbors, K Means, Naïve Bayes Mixture Model, Gaussian Discriminant Analysis, Newton Method, Coordinate Descent, Gradient Descent, Elastic Net Regression, Ridge Regression, Lasso Regression, Least Squares, Logistic Regression, Linear Regression

Matlab implementation of the Adam stochastic gradient descent optimisation algorithm

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

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

🛍️RetailBox - eCommerce Recommender System using Machine Learning

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

Slides and notebooks for my tutorial at PyData London 2018

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

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

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

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

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

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

Notebook for quick search

SVM with Learning Using Privileged Information (LUPI) framework

Simple MATLAB toolbox for deep learning network: Version 1.0.3

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.

Implement a Neural Network trained with back propagation in Python

Implemenation of DDPG with numpy only (without Tensorflow)

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

Modifiable neural network

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

AdaHMG: A first-order stochastic optimization algorithm for time series data