Statistics for topic optimization-algorithms
RepositoryStats tracks 584,797 Github repositories, of these 125 are tagged with the optimization-algorithms topic. The most common primary language for repositories using this topic is Python (47). Other languages include: C++ (22), MATLAB (13)
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A next-gen Lagrange-Newton solver for nonconvex optimization. It unifies barrier and SQP methods in a modern and generic way, and implements different globalization flavors (line search/trust region a...
The open source Solver AI for Java, Python and Kotlin to optimize scheduling and routing. Solve the vehicle routing problem, employee rostering, task assignment, maintenance scheduling and other plann...
Use PyTorch Models with CasADi for data-driven optimization or learning-based optimal control. Supports Acados.
A next-gen Lagrange-Newton solver for nonconvex optimization. It unifies barrier and SQP methods in a modern and generic way, and implements different globalization flavors (line search/trust region a...
Pytorch implementation of preconditioned stochastic gradient descent (affine group preconditioner, low-rank approximation preconditioner and more)
Use PyTorch Models with CasADi for data-driven optimization or learning-based optimal control. Supports Acados.
The open source Solver AI for Java, Python and Kotlin to optimize scheduling and routing. Solve the vehicle routing problem, employee rostering, task assignment, maintenance scheduling and other plann...
A next-gen Lagrange-Newton solver for nonconvex optimization. It unifies barrier and SQP methods in a modern and generic way, and implements different globalization flavors (line search/trust region a...
Pytorch implementation of preconditioned stochastic gradient descent (affine group preconditioner, low-rank approximation preconditioner and more)
A curated list of awesome links and software libraries that are useful for robots.
[JMLR-2024] PyPop7: A Pure-Python Library for POPulation-based Black-Box Optimization (BBO), especially their *Large-Scale* versions/variants (-> evolutionary algorithms/swarm-based optimizers/pattern...
Pytorch implementation of preconditioned stochastic gradient descent (affine group preconditioner, low-rank approximation preconditioner and more)
A next-gen Lagrange-Newton solver for nonconvex optimization. It unifies barrier and SQP methods in a modern and generic way, and implements different globalization flavors (line search/trust region a...
The open source Solver AI for Java, Python and Kotlin to optimize scheduling and routing. Solve the vehicle routing problem, employee rostering, task assignment, maintenance scheduling and other plann...
A tour of different optimization algorithms in PyTorch.
The open source Solver AI for Java, Python and Kotlin to optimize scheduling and routing. Solve the vehicle routing problem, employee rostering, task assignment, maintenance scheduling and other plann...
A next-gen Lagrange-Newton solver for nonconvex optimization. It unifies barrier and SQP methods in a modern and generic way, and implements different globalization flavors (line search/trust region a...
A curated list of awesome links and software libraries that are useful for robots.
Use PyTorch Models with CasADi for data-driven optimization or learning-based optimal control. Supports Acados.
Pytorch implementation of preconditioned stochastic gradient descent (affine group preconditioner, low-rank approximation preconditioner and more)
Pytorch implementation of preconditioned stochastic gradient descent (affine group preconditioner, low-rank approximation preconditioner and more)
A next-gen Lagrange-Newton solver for nonconvex optimization. It unifies barrier and SQP methods in a modern and generic way, and implements different globalization flavors (line search/trust region a...
Clarabel.cpp: C/C++ interface to the Clarabel Interior-point solver for convex conic optimisation problems.
IVON optimizer for neural networks based on variational learning.
LibMOON is a standard and flexible framework to study gradient-based multiobjective optimization.
The open source Solver AI for Java, Python and Kotlin to optimize scheduling and routing. Solve the vehicle routing problem, employee rostering, task assignment, maintenance scheduling and other plann...
Use PyTorch Models with CasADi for data-driven optimization or learning-based optimal control. Supports Acados.
A curated list of awesome links and software libraries that are useful for robots.
Fatrop is a nonlinear optimal control problem solver that aims to be fast, support a broad class of optimal control problems and achieve a high numerical robustness.
Must-read Papers on Large Language Model (LLM) as Optimizers and Automatic Optimization for Prompting LLMs.
A next-gen Lagrange-Newton solver for nonconvex optimization. It unifies barrier and SQP methods in a modern and generic way, and implements different globalization flavors (line search/trust region a...