Nonlinear Python Packages

casadi

CasADi is a symbolic framework for numeric optimization implementing automatic differentiation in forward and reverse modes on sparse matrix-valued computational graphs. It supports self-contained C-code generation and interfaces state-of-the-art codes such as SUNDIALS, IPOPT etc. It can be used from C++, Python or Matlab/Octave.

casadi-gil-comp

CasADi is a symbolic framework for numeric optimization implementing automatic differentiation in forward and reverse modes on sparse matrix-valued computational graphs. It supports self-contained C-code generation and interfaces state-of-the-art codes such as SUNDIALS, IPOPT etc. It can be used from C++, Python or Matlab/Octave.

nfem

NFEM Teaching Tool

pyhsiclasso

Versatile Nonlinear Feature Selection Algorithm for High-dimensional Data

shgo

Simplicial Homology Global Optimization

pyoptas

OpTaS: An optimization-based task specification library for trajectory optimization and model predictive control.

splitnewton

Bounded, SPLIT Newton solver with pseudo-transient continuation and backtracking. 15k+ downloads

springable

Explore the richness of nonlinear mechanics using simple springs!

orbithunter

Framework for Nonlinear Dynamics and Chaos

epistasis

A Python API for estimating statistical high-order epistasis in genotype-phenotype maps.

pynamical

Model, simulate, and visualize discrete nonlinear dynamical systems, chaos, and fractals

kydlib

Routines for exploratory data analysis.

mousai

Harmonic balance solvers

trusspy

Truss Solver for Python

irnl-rdt-correction

Correction script to power the nonlinear correctors in the (HL-)LHC insertion regions based on RDTs.

nonlinear-causal

nl-causal: nonlinear causal inference based on IV regression in Python

reclac

RECLAC Python package

lorenzpy

A Python package to simulate and measure chaotic dynamical systems.

scipybiteopt

Scipy style wrapper for Aleksey Vaneev's BiteOpt

rank-similarity

Rank Similarity is a set of nonlinear classification and transform tools for large datasets.

easyae-samuel-revolinski

This repository if for creating auto-encoders easily. The main focus of the auto-encoders on this page is for genetic and spectral data analysis but likely could be used for any high dimensional data

tsdss

Time series analysis tools.

easyae

This repository if for creating auto-encoders easily. The main focus of the auto-encoders on this page is for genetic and spectral data analysis but likely could be used for any high dimensional data

torczon

A simple Python-3 implementation of the derivative-free Torczon algorithm for nonlinear constrained optimization