Official code for "Accelerating Feedforward Computation via Parallel Nonlinear Equation Solving", ICML 2021

CUDA Templates for Linear Algebra Subroutines

Transforms your CasADi functions into batchable JAX-compatible functions. By combining the power of CasADi with the flexibility of JAX, JAXADi enables the creation of efficient code that runs smoot…

Open collection of model predictive control (MPC) benchmarking problems

C++ reimplementation of eiquadprog

Solve forward and inverse problems related to partial differential equations using finite basis physics-informed neural networks (FBPINNs)

Proximal Operator Graph Solver

Pytorch-based framework for solving parametric constrained optimization problems, physics-informed system identification, and parametric model predictive control.

A data-driven framework for control of nonlinear flows with Koopman Model Predictive Control

Constrained Kalman-Bucy Smoothing

Representation-Free Model Predictive Control for Dynamic Quadruped

A minimal PyTorch re-implementation of the OpenAI GPT (Generative Pretrained Transformer) training

This repository contains the source code for “Unscented Kalman filter stochastic nonlinear model predictive control” (UKF-SNMPC).

An automatic code generator for nonlinear model predictive control (NMPC) and the continuation/GMRES method (C/GMRES) based numerical solvers for NMPC

In this toolbox you find a family of PBSID algorithms for LTI, LPV and other model structures.

Simple exogenous learning rules applied to a continuous time Ramsey model

Projected Barzilai-Borwein Image Deconvolution with Infeasible Iterates (BBii-Decon)

A Matlab implementation of the quadratic regularization projected Barzilai–Borwein method for nonnegative matrix factorization.

A Matlab implementation of the monotone projected Barzilai–Borwein method for nonnegative matrix factorization.

gILC - An Open Source Tool for Model Based Iterative Learning Control

An Intuitive Tutorial to Gaussian Processes Regression

A Package for Automatic Differentiation of Algorithms Written in C/C++

Must-read Papers on Physics-Informed Neural Networks.

A library for scientific machine learning and physics-informed learning

a solver for sparse nonlinear optimization

NNLS solver employing Lawson-Hanson active set algorithm with Deviation Maximization pivoting

An event-based on-line adaptable fast nonlinear model predictive control framework