uno
A next-gen SQP & barrier solver for nonlinearly constrained optimization
@stdlib/ml-incr-binary-classification
Incrementally perform binary classification using stochastic gradient descent (SGD).
@stdlib/ml-incr-sgd-regression
Online regression via stochastic gradient descent (SGD).
tno.mpc.mpyc.secure-learning
TNO PET Lab - secure Multi-Party Computation (MPC) - MPyC - Secure Learning
https://github.com/drsoliddevil/mlr-gd
Multiple linear regression by gradient descent.
waveletml
WaveletML: A Scalable and Extensible Wavelet Neural Network Framework
analysis-gradient-descent-circuits
Code & Simulink models for “Analysis of gradient descent algorithms: Discrete to continuous domains and circuit equivalents” (SCL, 2025)
ml-optimized-orthogonal-basis-pp
Experimental results for research on: H. Waclawek and S. Huber, “Machine Learning Optimized Orthogonal Basis Piecewise Polynomial Approximation,” in Learning and Intelligent Optimization, Cham: Springer Nature Switzerland, 2025, pp. 427–441.
ml-optimized-orthogonal-basis-1d-pp
Experimental Python code developed for research on: H. Waclawek and S. Huber, “Machine Learning Optimized Orthogonal Basis Piecewise Polynomial Approximation,” in Learning and Intelligent Optimization, Cham: Springer Nature Switzerland, 2025, pp. 427–441.
optimizing-vpinns-using-ls
Pieces of code for the experiments described in the manuscript "Optimizing Variational Physics-Informed Neural Networks Using Least Squares", available at https://arxiv.org/pdf/2407.20417.