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Simple and reliable optimization with local, global, population-based and sequential techniques in numerical discrete search spaces.
hyperactive
nelder-mead
optimization
hill-climbing
random-search
meta-heuristic
machine-learning
simulated-annealing
evolution-strategies
bayesian-optimization
blackbox-optimization
constrained-optimization
tree-of-parzen-estimator
gradient-free-optimization
hyperparameter-optimization
particle-swarm-optimization
Created
2020-04-04
937 commits to master branch, last one 14 days ago
Pytorch-based framework for solving parametric constrained optimization problems, physics-informed system identification, and parametric model predictive control.
Created
2020-10-14
673 commits to master branch, last one 24 days ago
Constrained optimization toolkit for PyTorch
Created
2020-02-19
224 commits to master branch, last one 2 years ago
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-ste...
Created
2020-05-21
89 commits to main branch, last one 8 months ago
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., COBY...
Created
2020-06-10
5,346 commits to main branch, last one 24 days ago
NMFLibrary: Non-negative Matrix Factorization (NMF) Library: Version 2.1
nmf
divergence
orthogonal
data-analysis
matlab-toolbox
online-learning
gradient-descent
robust-optimization
clustering-algorithm
matrix-factorization
stochastic-optimizers
sparse-representations
optimization-algorithms
constrained-optimization
nonnegativity-constraints
nonnegative-matrix-factorization
probabilistic-matrix-factorization
Created
2017-04-04
149 commits to master branch, last one 2 years ago
A next-gen Lagrange-Newton solver for nonconvex constrained optimization. Unifies barrier and SQP methods in a generic way, and implements various globalization flavors (line search/trust region and m...
cpp
optimization
newton-method
gradient-descent
local-optimization
optimization-solver
optimization-methods
interior-point-method
nonlinear-programming
quadratic-programming
nonconvex-optimization
nonlinear-optimization
numerical-optimization
continuous-optimization
optimization-algorithms
constrained-optimization
mathematical-programming
mathematical-optimization
nonlinear-programming-algorithms
sequential-quadratic-programming
Created
2021-09-29
1,816 commits to main branch, last one 4 days ago
OptCuts, a new parameterization algorithm, jointly optimizes arbitrary embeddings for seam quality and distortion. OptCuts requires no parameter tuning; automatically generating mappings that minimiz...
Created
2017-11-22
24 commits to master branch, last one 7 months ago
Generic Constraint Development Environment
Created
2015-11-06
5,620 commits to master branch, last one 5 years ago
High-performance metaheuristics for optimization coded purely in Julia.
Created
2017-10-29
815 commits to master branch, last one 7 months ago
HPC solver for nonlinear optimization problems
Created
2017-12-05
943 commits to develop branch, last one 18 days ago
Source Codes for Codimensional Incremental Potential Contact (C-IPC)
Created
2021-10-11
5 commits to main branch, last one 2 years ago
A curated collection of Python examples for optimization-based solid simulation, emphasizing algorithmic convergence, penetration-free, and inversion-free conditions, designed for readability and unde...
Created
2022-02-05
57 commits to main branch, last one 4 months ago
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.
Created
2015-03-28
971 commits to master branch, last one 4 years ago
A general-purpose, deep learning-first library for constrained optimization in PyTorch
Created
2022-02-04
8 commits to master branch, last one 2 years ago
Powell's Derivative-Free Optimization solvers.
bobyqa
cobyla
lincoa
matlab
newuoa
powell
python
uobyqa
fortran
simulation
optimization
blackbox-optimization
nonlinear-optimization
numerical-optimization
optimization-algorithms
constrained-optimization
zeroth-order-optimization
unconstrained-optimization
derivative-free-optimization
simulation-based-optimization
Created
2020-04-19
536 commits to main branch, last one 2 months ago
The Constrained and Unconstrained Testing Environment with safe threads (CUTEst) for optimization software
Created
2018-02-03
229 commits to master branch, last one about a month ago
Modern Fortran Edition of the SLSQP Optimizer
Created
2016-01-05
130 commits to master branch, last one 11 months ago
Generalized and Efficient Blackbox Optimization System.
Created
2019-05-02
607 commits to master branch, last one about a year ago
A curated set of C++ examples for optimization-based elastodynamic contact simulation using CUDA, emphasizing algorithmic convergence, penetration-free, and inversion-free conditions. Designed for rea...
Created
2024-05-08
57 commits to master branch, last one 4 months ago
An interior-point method written in python for solving constrained and unconstrained nonlinear optimization problems.
Created
2017-04-15
20 commits to master branch, last one 3 years ago
Library for Multi-objective optimization in Gradient Boosted Trees
Created
2021-06-29
22 commits to master branch, last one 3 years ago
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.
constraints
optimization
safe-control
safe-planning
safety-critical
robotics-control
constrained-learning
constraint-programming
non-convex-optimization
safety-critical-systems
constrained-optimization
safety-critical-learning
constraint-based-modeling
differentiable-programming
safe-reinforcement-learning
constrained-reinforcement-learning
Created
2021-05-31
10 commits to main branch, last one 2 years ago
Riemannian stochastic optimization algorithms: Version 1.0.3
sgd
big-data
manifold
optimization
online-learning
machine-learning
variance-reduction
riemannian-manifold
large-scale-learning
stochastic-optimizers
nonlinear-optimization
non-convex-optimization
optimization-algorithms
riemannian-optimization
stochastic-optimization
constrained-optimization
machine-learning-algorithms
stochastic-gradient-descent
nonlinear-optimization-algorithms
Created
2018-07-12
63 commits to master branch, last one about a year ago
A Python Library for modeling combinatorial constrained problems
Created
2019-12-14
739 commits to master branch, last one 21 days ago
Synchronizing pong to music
Created
2024-08-27
5 commits to main branch, last one 3 months ago
A dependency free library of standardized optimization test functions written in pure Python.
Created
2019-11-04
120 commits to master branch, last one 11 months ago
The Modified Differential Multiplier Method (MDMM) for PyTorch
Created
2021-02-01
38 commits to master branch, last one 3 years ago
PyTorch implementation of Constrained Policy Optimization
Created
2021-10-19
10 commits to master branch, last one 3 years ago
Constrained Differential Dynamic Programming Solver for Trajectory Optimization and Model Predictive Control
Created
2023-11-09
201 commits to master branch, last one 12 hours ago