#
constrained-optimization
Here are 90 public repositories matching this topic...
Constrained optimization toolkit for PyTorch
pytorch
constrained-optimization
invertible-neural-networks
positive-definite-matrices
manifold-optimization
low-rank
positive-semi-definite
orthogonality
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Updated
Jul 13, 2021 - Python
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.
computer-animation
computer-graphics
constrained-optimization
numerical-optimization
siggraph
interior-point-method
physics-based-animation
barrier-method
physical-simulation
optimization-time-integrator
elastodynamics
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Updated
Aug 27, 2021 - C++
zayenz
commented
Nov 18, 2020
As mentioned in MiniZinc/MiniZincIDE#125, adding the -s
option to fzn-gecode
overrides -mode gist
which is surprising.
The best would probably be to make it possible for Gist to also output statistics, but making sure that -mode gist
will actually start Gist is enough to solve this bug.
MATLAB library for non-negative matrix factorization (NMF): Version 1.8.1
matlab
machine-learning-algorithms
bigdata
matrix-factorization
constrained-optimization
data-analysis
robust-optimization
gradient-descent
matlab-toolbox
clustering-algorithm
optimization-algorithms
nmf
online-learning
stochastic-optimizers
stochastic-gradient-descent
nonnegativity-constraints
orthogonal
probabilistic-matrix-factorization
nonnegative-matrix-factorization
sparse-representations
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Updated
Oct 14, 2020 - MATLAB
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.
computer-graphics
constrained-optimization
geometry-processing
siggraph-asia
texture-mapping
parameterization
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Updated
Jan 2, 2021 - C++
Generalized and Efficient Blackbox Optimization System.
distributed-systems
saas
constrained-optimization
multi-objective-optimization
bayesian-optimization
hyper-parameter-optimization
blackbox-optimization
automatic-machine-learning
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Updated
Aug 26, 2021 - Python
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.
c-plus-plus
real-time
control
robot
computer-vision
robotics
optimization
driver
ros
vrep
kuka
iiwa
calibration
kuka-lbr-iiwa
constrained-optimization
inverse-kinematics
hand-eye-calibration
grl
vrep-plugin
atracsys
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Updated
Oct 27, 2020 - C++
HPC solver for nonlinear optimization problems
hpc
optimization
solver
mpi
cuda
constrained-optimization
nonlinear-programming-algorithms
nonlinear-optimization
nonlinear-programming
interior-point-method
bfgs
parallel-programming
nonlinear-optimization-algorithms
quasi-newton
gpu-support
math-physics
radiuss
acopf
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Updated
Sep 4, 2021 - C++
Library for Multi-objective optimization in Gradient Boosted Trees
machine-learning
machine-learning-algorithms
constrained-optimization
multi-objective-optimization
gradient-boosted-trees
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Updated
Aug 8, 2021 - Python
An interior-point method written in python for solving constrained and unconstrained nonlinear optimization problems.
python
theano
constrained-optimization
nonlinear-optimization
nonlinear-programming
equality-inequality-constraints
interior-point-method
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Updated
Dec 22, 2020 - Python
Riemannian stochastic optimization algorithms: Version 1.0.3
machine-learning
big-data
optimization
machine-learning-algorithms
constrained-optimization
sgd
manifold
nonlinear-optimization
optimization-algorithms
large-scale-learning
online-learning
stochastic-optimizers
variance-reduction
stochastic-gradient-descent
nonlinear-optimization-algorithms
stochastic-optimization
riemannian-manifold
riemannian-optimization
non-convex-optimization
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Updated
Jun 10, 2021 - MATLAB
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)
arduino
real-time
microcontroller
embedded
control
teensy
cpp
controller
realtime
embedded-systems
constrained-optimization
mpc
mcu
optimal-control
control-theory
quadratic-programming
model-predictive-control
teensy40
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Updated
May 3, 2020 - C++
A SciPy compatible super fast Python implementation for Particle Swarm Optimization.
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Updated
Apr 19, 2020 - Python
Generalized and Efficient Blackbox Optimization System.
constrained-optimization
multi-objective-optimization
bayesian-optimization
hyperparameter-tuning
blackbox-optimization
automatic-machine-learning
knobs-tuning
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Updated
Aug 26, 2021 - Python
Python implementation of the genetic algorithm MAP-Elites with applications in constrained optimization
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Updated
Oct 16, 2020 - Jupyter Notebook
Python library to implement advanced trading strategies using machine learning and perform backtesting.
trading
tensorflow
graphics
constrained-optimization
event-driven
expectation-maximization
rnn
widget-libraries
mql4
gaussian-processes
oscillators
linear-models
kalman-filter
indicators
capm
multivariate-statistics
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Updated
Aug 28, 2019 - Python
Implementation of the (beetle antennae search) BAS algorithm and its mutations in R code
r
constrained-optimization
multi-objective-optimization
optimization-algorithms
beetle-antennae-search
beetle-swarm-antennae-search
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Updated
Mar 14, 2019 - R
Implementation of the paper "Improving Optimization Bounds using Machine Learning: Decision Diagrams meet Deep Reinforcement Learning".
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Updated
Feb 16, 2020 - C++
The standard and parallel multiobjective EGO algorithms
constrained-optimization
multi-objective-optimization
bayesian-optimization
kriging
expected-improvement
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Updated
Aug 13, 2020 - MATLAB
A dependency free library of standardized optimization test functions written in pure Python.
python
optimization
constrained-optimization
tsp
multi-objective
cost-function
traveling-salesman-problem
test-functions
single-objective
loss-function
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Updated
Jan 19, 2021 - Python
The standard and parallel single-objective EGO algorithms
parallel-computing
constrained-optimization
bayesian-optimization
expected-improvement
kriging-models
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Updated
Dec 7, 2020 - MATLAB
Python constraint programming library
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Updated
Jul 30, 2021 - Python
High performance metaheuristics for optimization purely coded in Julia.
optimization
constrained-optimization
simulated-annealing
multi-objective-optimization
differential-evolution
pso
nsga2
hypervolume
nsga3
moead-de
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Updated
Sep 1, 2021 - Julia
The Modified Differential Multiplier Method (MDMM) for PyTorch
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Updated
May 14, 2021 - Python
A Python package for constrained Nelder-Mead optimization.
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Updated
Sep 10, 2018 - Python
A Julia package that solves Linearly Constrained Separable Optimization Problems using ADMM.
optimization
julia
julia-language
constrained-optimization
admm
proximal-algorithms
proximal-operators
prox
convex-optimization
piecewise
first-order-methods
convex
quadratic
first-order
linearly-separable
nonsmooth-optimization
admm-algorithm
piecewise-quadratic
separable-optimization
linearly-constrained
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Updated
Jul 19, 2021 - Julia
Derivative-free nonlinear global optimizer with python interface
constrained-optimization
global-optimization
bayesian-optimization
nonlinear-optimization
derivative-free
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Updated
Nov 11, 2019 - C++
Desktop App for constraint optimization of linear programming problems
visualization
algorithm
optimization
scheduler
solver
linear-programming
constrained-optimization
resource-allocation
simplex-algorithm
bound-and-barrier
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Updated
Feb 5, 2017 - C#
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I think it would be useful to have a grid search optimizer in this package. But its implementation would probably be quite different from other ones (sklearn, ...).
The requirements are: