Topic: constrained-optimization Goto Github
Some thing interesting about constrained-optimization
Some thing interesting about constrained-optimization
constrained-optimization,Desktop App for constraint optimization of linear programming problems
User: 8tiqa
constrained-optimization,Robotics tools in C++11. Implements soft real time arm drivers for Kuka LBR iiwa plus V-REP, ROS, Constrained Optimization based planning, Hand Eye Calibration and Inverse Kinematics integration.
User: ahundt
Home Page: https://ahundt.github.io/grl/
constrained-optimization,A Python package for constrained Nelder-Mead optimization.
User: alexblaessle
constrained-optimization,Constrained Differential Dynamic Programming Solver for Trajectory Optimization and Model Predictive Control
User: astomodynamics
constrained-optimization,A general-purpose, deep learning-first library for constrained optimization in PyTorch
Organization: cooper-org
Home Page: https://cooper.readthedocs.io/
constrained-optimization,The Modified Differential Multiplier Method (MDMM) for PyTorch
User: crowsonkb
constrained-optimization,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
User: cvanaret
constrained-optimization,Python implementation of the SQP-GS algorithm for nonsmooth, nonconvex constrained optimization
User: fabian-sp
constrained-optimization,Generic Constraint Development Environment
Organization: gecode
Home Page: https://www.gecode.org
constrained-optimization,NMFLibrary: Non-negative Matrix Factorization (NMF) Library: Version 2.1
User: hiroyuki-kasai
constrained-optimization,Riemannian stochastic optimization algorithms: Version 1.0.3
User: hiroyuki-kasai
constrained-optimization,Source Codes for Codimensional Incremental Potential Contact (C-IPC)
Organization: ipc-sim
Home Page: https://ipc-sim.github.io/C-IPC/
constrained-optimization,Incremental Potential Contact (IPC) is for robust and accurate time stepping of nonlinear elastodynamics. IPC guarantees intersection- and inversion-free trajectories regardless of materials, time-step sizes, velocities, or deformation severity.
Organization: ipc-sim
Home Page: https://ipc-sim.github.io/
constrained-optimization,Optimization algorithms by M.J.D. Powell
User: jacobwilliams
constrained-optimization,Modern Fortran Edition of the SLSQP Optimizer
User: jacobwilliams
constrained-optimization,A SciPy compatible super fast Python implementation for Particle Swarm Optimization.
User: jerrytheo
constrained-optimization,An interior-point method written in python for solving constrained and unconstrained nonlinear optimization problems.
User: jkaardal
constrained-optimization,High-performance metaheuristics for optimization coded purely in Julia.
User: jmejia8
Home Page: https://jmejia8.github.io/Metaheuristics.jl/stable/
constrained-optimization,A Julia package that solves Linearly Constrained Separable Optimization Problems using ADMM.
Organization: juliafirstorder
Home Page: https://juliafirstorder.github.io/SeparableOptimization.jl/stable/
constrained-optimization,Implementation of the (beetle antennae search) BAS algorithm and its mutations in R code
User: jywang2016
Home Page: https://jywang2016.github.io/rBAS/
constrained-optimization,Constrained optimization toolkit for PyTorch
User: lezcano
Home Page: https://geotorch.readthedocs.io
constrained-optimization,PRIMA is a package for solving general nonlinear optimization problems without using derivatives. It provides the reference implementation for Powell's derivative-free optimization methods, i.e., COBYLA, UOBYQA, NEWUOA, BOBYQA, and LINCOA. PRIMA means Reference Implementation for Powell's methods with Modernization and Amelioration, P for Powell.
Organization: libprima
Home Page: http://libprima.net
constrained-optimization,OptCuts, a new parameterization algorithm, jointly optimizes arbitrary embeddings for seam quality and distortion. OptCuts requires no parameter tuning; automatically generating mappings that minimize seam-lengths while satisfying user-requested distortion bounds.
User: liminchen
Home Page: http://www.cs.ubc.ca/labs/imager/tr/2018/OptCuts/
constrained-optimization,HPC solver for nonlinear optimization problems
Organization: llnl
constrained-optimization,Python library to implement advanced trading strategies using machine learning and perform backtesting.
User: manuwhs
constrained-optimization,A dependency free library of standardized optimization test functions written in pure Python.
User: nathanrooy
constrained-optimization,TinyNS: Platform-Aware Neurosymbolic Auto Tiny Machine Learning
Organization: nesl
constrained-optimization,Source code and models for the paper "Cyberbullying Detection with Fairness Constraints". IEEE Internet Computing, 2020
User: ogencoglu
Home Page: https://ieeexplore.ieee.org/document/9233943
constrained-optimization,Powell's Derivative-Free Optimization solvers.
Organization: pdfo
Home Page: https://www.pdfo.net
constrained-optimization,DEFT-FUNNEL: An open-source global optimization solver for constrained grey-box and black-box problems in Matlab.
User: phrsampaio
constrained-optimization,Pytorch-based framework for solving parametric constrained optimization problems, physics-informed system identification, and parametric model predictive control.
Organization: pnnl
Home Page: https://pnnl.github.io/neuromancer/
constrained-optimization,A compact Constrained Model Predictive Control (MPC) library with Active Set based Quadratic Programming (QP) solver for Teensy4/Arduino system (or any real time embedded system in general)
User: pronenewbits
constrained-optimization,Implementation of the paper "Improving Optimization Bounds using Machine Learning: Decision Diagrams meet Deep Reinforcement Learning".
User: qcappart
Home Page: https://arxiv.org/abs/1809.03359
constrained-optimization,PyTorch implementation of Constrained Policy Optimization
User: sapanachaudhary
constrained-optimization,This repository contains the code and models for our paper "Investigating and Mitigating Failure Modes in Physics-informed Neural Networks(PINNs)"
User: shamsbasir
constrained-optimization,Simple and reliable optimization with local, global, population-based and sequential techniques in numerical discrete search spaces.
User: simonblanke
Home Page: https://simonblanke.github.io/gradient-free-optimizers-documentation
constrained-optimization,Derivative-free nonlinear global optimizer with python interface
User: sovrasov
constrained-optimization,Python implementation of the genetic algorithm MAP-Elites with applications in constrained optimization
User: stefanofioravanzo
constrained-optimization,Library for Multi-objective optimization in Gradient Boosted Trees
Organization: swiggy
constrained-optimization,Generalized and Efficient Blackbox Optimization System.
User: thomas-young-2013
Home Page: https://open-box.readthedocs.io
constrained-optimization,Derivation and construction of a thermodynamic phase diagram for ternary alloy systems with 2 or 3 phases
User: tkphd
constrained-optimization,Safe Pontryagin Differentiable Programming (Safe PDP) is a new theoretical and algorithmic safe differentiable framework to solve a broad class of safety-critical learning and control tasks.
User: wanxinjin
Home Page: https://wanxinjin.github.io/posts/safePDP
constrained-optimization,A PyTorch implementation of constrained optimization and modeling techniques
User: willbakst
Home Page: https://willbakst.github.io/pytorch-lattice/
constrained-optimization,Constraint Solver ACE
User: xcsp3team
constrained-optimization,A Python Library for modeling combinatorial constrained problems
User: xcsp3team
Home Page: https://www.pycsp.org
constrained-optimization,Python constraint programming library
User: xoolive
Home Page: http://facile.readthedocs.io/
constrained-optimization,LAMBDA is a model-based reinforcement learning agent that uses Bayesian world models for safe policy optimization
User: yardenas
constrained-optimization,Multiobjective Adaptive Surrogate Modeling-based Optimization Toolbox I
User: yonghoonlee
constrained-optimization,standard, parallel, constrained, and multiobjective EGO algorithms
User: zhandawei
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.