15 Repositories
Python nonlinear Libraries
OMLT: Optimization and Machine Learning Toolkit
OMLT is a Python package for representing machine learning models (neural networks and gradient-boosted trees) within the Pyomo optimization environment.
179 Jan 2, 2023
Implementation of linesearch Optimization Algorithms in Python
Nonlinear Optimization Algorithms During my time as Scientific Assistant at the Karlsruhe Institute of Technology (Germany) I implemented various Opti
3 Dec 6, 2022
Data-driven reduced order modeling for nonlinear dynamical systems
SSMLearn Data-driven Reduced Order Models for Nonlinear Dynamical Systems This package perform data-driven identification of reduced order model based
27 Dec 13, 2022
This repository includes different versions of the prescribed-time controller as Simulink blocks and MATLAB script codes for engineering applications.
Prescribed-time Control Prescribed-time control (PTC) blocks in Simulink environment, MATLAB R2020b. For more theoretical details, refer to the papers
1 Mar 11, 2022
A library for differentiable nonlinear optimization.
Theseus A library for differentiable nonlinear optimization built on PyTorch to support constructing various problems in robotics and vision as end-to
1.1k Dec 30, 2022
On Nonlinear Latent Transformations for GAN-based Image Editing - PyTorch implementation
On Nonlinear Latent Transformations for GAN-based Image Editing - PyTorch implementation On Nonlinear Latent Transformations for GAN-based Image Editi
22 Oct 24, 2022
code from "Tensor decomposition of higher-order correlations by nonlinear Hebbian plasticity"
Code associated with the paper "Tensor decomposition of higher-order correlations by nonlinear Hebbian learning," Ocker & Buice, Neurips 2021. "plot_f
4 Oct 16, 2022
ResNEsts and DenseNEsts: Block-based DNN Models with Improved Representation Guarantees
ResNEsts and DenseNEsts: Block-based DNN Models with Improved Representation Guarantees This repository is the official implementation of the empirica
2 Oct 2, 2022
ResNEsts and DenseNEsts: Block-based DNN Models with Improved Representation Guarantees
ResNEsts and DenseNEsts: Block-based DNN Models with Improved Representation Guarantees This repository is the official implementation of the empirica
2 Oct 2, 2022
Towards Nonlinear Disentanglement in Natural Data with Temporal Sparse Coding
Towards Nonlinear Disentanglement in Natural Data with Temporal Sparse Coding
61 Dec 21, 2022
A python implementation of Physics-informed Spline Learning for nonlinear dynamics discovery
PiSL A python implementation of Physics-informed Spline Learning for nonlinear dynamics discovery. Sun, F., Liu, Y. and Sun, H., 2021. Physics-informe
8 Jul 13, 2022
DeepLM: Large-scale Nonlinear Least Squares on Deep Learning Frameworks using Stochastic Domain Decomposition (CVPR 2021)
DeepLM DeepLM: Large-scale Nonlinear Least Squares on Deep Learning Frameworks using Stochastic Domain Decomposition (CVPR 2021) Run Please install th
130 Dec 2, 2022
jaxfg - Factor graph-based nonlinear optimization library for JAX.
Factor graphs + nonlinear optimization in JAX
134 Dec 21, 2022
Learning nonlinear operators via DeepONet
DeepONet: Learning nonlinear operators The source code for the paper Learning nonlinear operators via DeepONet based on the universal approximation th
239 Jan 2, 2023
library for nonlinear optimization, wrapping many algorithms for global and local, constrained or unconstrained, optimization
NLopt is a library for nonlinear local and global optimization, for functions with and without gradient information. It is designed as a simple, unifi
1.4k Dec 25, 2022