With Uno, finally take full control of your SQP/barrier solver for nonlinearly constrained optimization

Newton and Quasi-Newton optimization with PyTorch

High-performance and differentiation-enabled nonlinear solvers (Newton methods), bracketed rootfinding (bisection, Falsi), with sparsity and Newton-Krylov support.

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…

Basic Machine Learning implementation with python

Drawing Newton's fractal using pure js, rust-wasm, SIMDs, threads and GPU

Implementation and visualization (some demos) of search and optimization algorithms.

This package is dedicated to high-order optimization methods. All the methods can be used similarly to standard PyTorch optimizers.

Hessian-based stochastic optimization in TensorFlow and keras

Python and MATLAB code for Stein Variational sampling methods

Implementation and analysis of convex optimization algorithms

Code for "A Regularized Newton Method for Nonconvex Optimization with Global and Local Complexity Guarantees"

If you find any errors in the work of algorithms, you can fix them by creating a pull request

Collection of functions to find roots of functions float → float. Pure OCaml code.

Assignments for Optimization Techniques Course at ECE AUTH

Optimization course for MSAI at MIPT

ForSolver - linear and nonlinear solvers

Prototyping of matrix free Newton methods in Julia

This is a Numerical Analysis course project, implementing numerical analysis methods.

A Unified Pytorch Optimizer for Numerical Optimization