Statistics for topic optimization-algorithms
RepositoryStats tracks 640,543 Github repositories, of these 134 are tagged with the optimization-algorithms topic. The most common primary language for repositories using this topic is Python (51). Other languages include: C++ (22), MATLAB (14)
Stargazers over time for topic optimization-algorithms
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A curated list of awesome links and software libraries that are useful for robots.
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...
RAVEN is a flexible and multi-purpose probabilistic risk analysis, validation and uncertainty quantification, parameter optimization, model reduction and data knowledge-discovering framework.
Use PyTorch Models with CasADi for data-driven optimization or learning-based optimal control. Supports Acados.
C++ Mathematical Expression Parsing And Evaluation Library https://www.partow.net/programming/exprtk/index.html
A curated list of awesome links and software libraries that are useful for robots.
RAVEN is a flexible and multi-purpose probabilistic risk analysis, validation and uncertainty quantification, parameter optimization, model reduction and data knowledge-discovering framework.
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.
C++ Mathematical Expression Parsing And Evaluation Library https://www.partow.net/programming/exprtk/index.html
A curated list of awesome links and software libraries that are useful for robots.
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...
The official implementation of MARS: Unleashing the Power of Variance Reduction for Training Large Models
RAVEN is a flexible and multi-purpose probabilistic risk analysis, validation and uncertainty quantification, parameter optimization, model reduction and data knowledge-discovering framework.
Let's reproduce paper simulations of multi-robot systems, formation control, distributed optimization and cooperative manipulation.
Implementation of data mining methods that use evolutionary algorithms
RAVEN is a flexible and multi-purpose probabilistic risk analysis, validation and uncertainty quantification, parameter optimization, model reduction and data knowledge-discovering framework.
The official implementation of MARS: Unleashing the Power of Variance Reduction for Training Large Models
A curated list of awesome links and software libraries that are useful for robots.
Julia implementation for various Frank-Wolfe and Conditional Gradient variants
An implementation strategy for lists, queues, deque(ue)s.
An implementation strategy for lists, queues, deque(ue)s.
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...
The official implementation of MARS: Unleashing the Power of Variance Reduction for Training Large Models
A curated list of awesome links and software libraries that are useful for robots.
Implementation of data mining methods that use evolutionary algorithms
Low-level functions for golang that help to avoid allocations
Optimization and inverse design of photonic crystals using deep reinforcement learning
The official implementation of MARS: Unleashing the Power of Variance Reduction for Training Large Models
The official implementation of MARS: Unleashing the Power of Variance Reduction for Training Large Models
An implementation strategy for lists, queues, deque(ue)s.
Low-level functions for golang that help to avoid allocations
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...
The official implementation of MARS: Unleashing the Power of Variance Reduction for Training Large Models
A curated list of awesome links and software libraries that are useful for robots.
The official implementation of MARS: Unleashing the Power of Variance Reduction for Training Large Models
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.
Implementation of data mining methods that use evolutionary algorithms
