newton-method topic

Basic Machine Learning implementation with python

bamtak

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

alordash

Newton and Quasi-Newton optimization with PyTorch

rfeinman

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

SciML

Python machine learning applications in image processing, recommender system, matrix completion, netflix problem and algorithm implementations including Co-clustering, Funk SVD, SVD++, Non-negative Ma...

je-suis-tm

Python and MATLAB code for Stein Variational sampling methods

gianlucadetommaso

A next-gen solver for optimization with nonconvex objective and constraints. Reimplements filterSQP and IPOPT (barrier) in a modern and generic way, and unlocks a variety of novel methods. Competitive...

cvanaret

Hessian-based stochastic optimization in TensorFlow and keras

tomoleary

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

OPTAMI

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

alwaysbyx