Trending repositories for topic optimization-algorithms
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.
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...
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
Use PyTorch Models with CasADi for data-driven optimization or learning-based optimal control. Supports Acados.
Clarabel.rs: Interior-point solver for convex conic optimisation problems in Rust.
LibMOON is a standard and flexible framework to study gradient-based multiobjective optimization.
Low-level functions for golang that help to avoid allocations
A toolkit for testing control and planning algorithm for car racing.
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.
NMFLibrary: Non-negative Matrix Factorization (NMF) Library: Version 2.1
OptimLib: a lightweight C++ library of numerical optimization methods for nonlinear functions
A curated list of awesome links and software libraries that are useful for robots.
Low-level functions for golang that help to avoid allocations
LibMOON is a standard and flexible framework to study gradient-based multiobjective optimization.
Use PyTorch Models with CasADi for data-driven optimization or learning-based optimal control. Supports Acados.
The official implementation of MARS: Unleashing the Power of Variance Reduction for Training Large Models
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 toolkit for testing control and planning algorithm for car racing.
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.
Clarabel.rs: Interior-point solver for convex conic optimisation problems in Rust.
Must-read Papers on Large Language Model (LLM) as Optimizers and Automatic Optimization for Prompting LLMs.
NMFLibrary: Non-negative Matrix Factorization (NMF) Library: Version 2.1
A research toolkit for particle swarm optimization in Python
OptimLib: a lightweight C++ library of numerical optimization methods for nonlinear functions
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
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.
Clarabel.rs: Interior-point solver for convex conic optimisation problems in Rust.
C++ Mathematical Expression Parsing And Evaluation Library https://www.partow.net/programming/exprtk/index.html
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.
A curated list of awesome links and software libraries that are useful for robots.
A next-gen Lagrange-Newton (SQP + barrier) solver for nonconvex constrained optimization
Optimization and inverse design of photonic crystals using deep reinforcement learning
a lightweight header-only C++17 library of numerical optimization methods for (un-)constrained nonlinear functions and expression templates
moldrug (AKA mouse) is a Python package for drug-oriented optimization on the chemical space
LibMOON is a standard and flexible framework to study gradient-based multiobjective optimization.
moldrug (AKA mouse) is a Python package for drug-oriented optimization on the chemical space
Optimization and inverse design of photonic crystals using deep reinforcement learning
Low-level functions for golang that help to avoid allocations
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.
LibMOON is a standard and flexible framework to study gradient-based multiobjective optimization.
The official implementation of MARS: Unleashing the Power of Variance Reduction for Training Large Models
Official implementation of NeurIPS'22 paper "Monte Carlo Tree Search based Variable Selection for High-Dimensional Bayesian Optimization"
Use PyTorch Models with CasADi for data-driven optimization or learning-based optimal control. Supports Acados.
Clarabel.rs: Interior-point solver for convex conic optimisation problems in Rust.
A next-gen Lagrange-Newton (SQP + barrier) solver for nonconvex constrained optimization
This script implements the hybrid of PSO and GWO optimization algorithm.
Controlling a nonholonomic robot to follow a trajectory with a modified PID Controller.
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 site, that contains systematic optimization methods and theory review
Clarabel.cpp: C/C++ interface to the Clarabel Interior-point solver for convex conic optimisation problems.
The official implementation of MARS: Unleashing the Power of Variance Reduction for Training Large Models
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
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.
A next-gen Lagrange-Newton (SQP + barrier) solver for nonconvex constrained optimization
C++ Mathematical Expression Parsing And Evaluation Library https://www.partow.net/programming/exprtk/index.html
Clarabel.rs: Interior-point solver for convex conic optimisation problems in Rust.
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.
A research toolkit for particle swarm optimization in Python
种群算法复现(swarm-algorithm)，包括乌鸦搜索(Crow Search Algorithm, CSA)、樽海鞘群算法(Salp Swarm Algorithm, SSA)、缎蓝园丁鸟优化算法(Satin Bowerbird Optimizer, SBO)、麻雀搜索算法(Sparrow Search Algorithm, SSA)、 狼群搜索算法(2007WPS, 2013WPA)、正...
OptimLib: a lightweight C++ library of numerical optimization methods for nonlinear functions
Advanced evolutionary computation library built directly on top of PyTorch, created at NNAISENSE.
Must-read Papers on Large Language Model (LLM) as Optimizers and Automatic Optimization for Prompting LLMs.
Let's reproduce paper simulations of multi-robot systems, formation control, distributed optimization and cooperative manipulation.
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.
Low-level functions for golang that help to avoid allocations
LibMOON is a standard and flexible framework to study gradient-based multiobjective optimization.
moldrug (AKA mouse) is a Python package for drug-oriented optimization on the chemical space
IVON optimizer for neural networks based on variational learning.
A next-gen Lagrange-Newton (SQP + barrier) solver for nonconvex constrained 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...
Clarabel.cpp: C/C++ interface to the Clarabel Interior-point solver for convex conic optimisation problems.
Optimization and inverse design of photonic crystals using deep reinforcement learning
Use PyTorch Models with CasADi for data-driven optimization or learning-based optimal control. Supports Acados.
Pytorch implementation of preconditioned stochastic gradient descent (Kron and affine preconditioner, low-rank approximation preconditioner and more)
This repository contains the source code for "Stochastic data-driven model predictive control using Gaussian processes" (SDD-GP-MPC).
Clarabel.rs: Interior-point solver for convex conic optimisation problems in Rust.
Official implementation of NeurIPS'22 paper "Monte Carlo Tree Search based Variable Selection for High-Dimensional Bayesian Optimization"
Must-read Papers on Large Language Model (LLM) as Optimizers and Automatic Optimization for Prompting LLMs.