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.

pyhsiclasso

Versatile Nonlinear Feature Selection Algorithm for High-dimensional Data

shgo

Simplicial Homology Global Optimization

nfem

A lightweight python tool build for teaching non linear FEM analysis of 3D truss structures

pyoptas

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

orbithunter

Framework for nonlinear dynamics and chaos

epistasis

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

kydlib

Routines for exploratory data analysis.

splitnewton

Split Newton Solver

pynamical

Model, simulate, and visualize discrete nonlinear dynamical systems

springable

Explore the richness of nonlinear mechanics using simple springs!

irnl-rdt-correction

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

trusspy

Nonlinear Truss Solver for Python

mousai

Harmonic balance solvers

rank-similarity

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

nonlinear-causal

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

scipybiteopt

Scipy style wrapper for Aleksey Vaneev's BiteOpt

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

lorenzpy

A Python package to simulate and measure chaotic dynamical systems.

tsdss

Time series analysis tools.

reclac

RECLAC Python package

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

casadi-fork

CasADi -- framework for algorithmic differentiation and numeric optimization