Fast and embedded solvers for nonlinear optimal control
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Updated
May 15, 2024 - C
Fast and embedded solvers for nonlinear optimal control
Speed up the loading of your world.
OptFrame - Optimization Framework
Simulation and Parameter Estimation in Geophysics - A python package for simulation and gradient based parameter estimation in the context of geophysical applications.
Dear Minecraft, stop using outdated OpenGL versions... or else...
Stellarator Equilibrium and Optimization Suite
PyPop7: A Pure-Python Library for POPulation-based Black-Box Optimization (BBO), especially their *Large-Scale* versions/variants. https://pypop.rtfd.io/
Portfolio optimization and back-testing.
Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
Amos optimizer with JEstimator lib.
PennyLane is a cross-platform Python library for differentiable programming of quantum computers. Train a quantum computer the same way as a neural network.
🤗 Optimum Intel: Accelerate inference with Intel optimization tools
Powerful dictionaries and tuple lists for data wrangling
A JavaScript checker and optimizer.
Solve vehicle routing problems with Google Optimization AI Cloud Fleet Routing
Constrained optimization for Pytorch using the SQP-GS algorithm
A differentiable bridge between phase space and Fock space
A next-gen solver for nonlinearly constrained nonconvex optimization. Modular and lightweight, it unifies iterative methods (SQP vs interior points) and globalization techniques (filter method vs merit function, line search vs trust region method) in a single framework. Competitive against IPOPT, filterSQP, SNOPT, MINOS and CONOPT
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