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

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…

MATLAB/Octave library for stochastic optimization algorithms: Version 1.0.20

Machine learning algorithms in Dart programming language

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

Classifying the Blur and Clear Images

Riemannian stochastic optimization algorithms: Version 1.0.3

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

Matlab implementation of the Adam stochastic gradient descent optimisation algorithm

Easy-to-use linear and non-linear solver

Exploiting Explainable Metrics for Augmented SGD [CVPR2022]

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

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

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

Tensorflow implementation of preconditioned stochastic gradient descent

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

Stochastic gradient descent with model building

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

Implement a Neural Network trained with back propagation in Python

Slides and notebooks for my tutorial at PyData London 2018