Topic: stochastic-optimizers Goto Github

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esa / pagmo2
stochastic-optimizers,A C++ platform to perform parallel computations of optimisation tasks (global and local) via the asynchronous generalized island model.
Organization: esa
Home Page: https://esa.github.io/pagmo2/
optimization optimization-algorithms optimization-methods optimization-tools parallel-computing parallel-processing evolutionary-algorithms multi-objective-optimization stochastic-optimizers genetic-algorithm

100 / solid
stochastic-optimizers,🎯 A comprehensive gradient-free optimization framework written in Python
User: 100
Home Page: https://100.github.io/Solid/
metaheuristics optimization optimization-algorithms python algorithm library machine-learning machine-learning-algorithms artificial-intelligence stochastic-optimizers

hiroyuki-kasai / nmflibrary
stochastic-optimizers,NMFLibrary: Non-negative Matrix Factorization (NMF) Library: Version 2.1
User: hiroyuki-kasai
nmf optimization-algorithms matrix-factorization data-analysis constrained-optimization gradient-descent matlab-toolbox online-learning stochastic-optimizers robust-optimization

locuslab / e2e-model-learning
stochastic-optimizers,Task-based end-to-end model learning in stochastic optimization
Organization: locuslab
machine-learning deep-learning optimization stochastic-optimizers pytorch paper

avaneev / biteopt
stochastic-optimizers,Derivative-Free Global Optimization Algorithm (C++, Python binding) - Continuous, Discrete, TSP, NLS, MINLP
User: avaneev
optimization-methods optimization-algorithms constraint-programming stochastic-optimizers evolutionary-algorithms metaheuristics optimization-tools optimization genetic-algorithm mixed-integer-programming

hiroyuki-kasai / rsopt
stochastic-optimizers,Riemannian stochastic optimization algorithms: Version 1.0.3
User: hiroyuki-kasai
riemannian-optimization riemannian-manifold non-convex-optimization machine-learning-algorithms stochastic-optimization stochastic-gradient-descent stochastic-optimizers variance-reduction constrained-optimization nonlinear-optimization

phrb / nodal.jl
stochastic-optimizers,NODAL is an Open Distributed Autotuning Library in Julia
User: phrb
julia-language julia autotuning stochastic-optimizers high-performance-computing autotuners autonomous-search

ltatzel / pytorchhessianfree
stochastic-optimizers,PyTorch implementation of the Hessian-free optimizer
User: ltatzel
conjugate-gradient deep-learning deep-neural-networks ggn hessian-free matrix-free newtons-method second-order-optimization pytorch-implementation optimization-algorithms

gvegayon / abcoptim
stochastic-optimizers,An implementation of the Artificial Bee Colony (ABC) Algorithm
User: gvegayon
Home Page: https://gvegayon.github.io/ABCoptim
optimization artificial-bee-colony stochastic-optimizers r-programming r rcpp

harshraj11584 / paper-implementation-overview-gradient-descent-optimization-sebastian-ruder
stochastic-optimizers,[Python] [arXiv/cs] Paper "An Overview of Gradient Descent Optimization Algorithms" by Sebastian Ruder
User: harshraj11584
adadelta adagrad adam-optimizer adam gradient-descent gradient-boosting gradient-descent-algorithm optimization-algorithms optimization-methods adamax

hiroyuki-kasai / subsampled-rtr
stochastic-optimizers,Subsampled Riemannian trust-region (RTR) algorithms
User: hiroyuki-kasai
riemannian-optimization trust-region stochastic-optimizers riemannian-manifold big-data second-order-optimization subsample sub-sampling sampling-methods riemannian-geometry

v-iashin / crossentropytsp
stochastic-optimizers,An implementation of an approximation of the solution to Traveling Salesman Problem using cross entropy approach on Python 3
User: v-iashin
python3 oop entropy stochastic-optimizers jupyter-notebook cross-entropy traveling-salesman-problem

robin-vjc / smps
stochastic-optimizers,Python Utilities for parsing SMPS files (Stochastic Multistage Optimization)
User: robin-vjc
optimization-algorithms python stochastic-optimizers

husk214 / stopt
stochastic-optimizers,implementations of optimization algorithms for regularized empirical risk minimization
User: husk214
optimization-algorithm-library stochastic-optimizers

git-steb / structural-deformable-models
stochastic-optimizers,Multi-shape detection algorithm in C++ with OpenGL GUI
User: git-steb
Home Page: https://stevenbergner.github.io/research/2003/12/18/deformable-models.html
diploma-thesis algorithm macro-photographic-images convolutional-layers stochastic-optimizers gradient-descent-algorithm opengl classification ant-species c-plus-plus

v-iashin / samplingchessboardwithqueens
stochastic-optimizers,Simulation of an N by M chessboard with K queens such that no queen defeats another using Simulated Annealing
User: v-iashin
simulated-annealing r simulation stochastic-optimizers energy algorithm temperature-reduction threshold-temperature

ajauhri / evol-ant-placement
stochastic-optimizers,Evolutionary Techniques for Antenna Placement
User: ajauhri
stochastic-optimizers simulated-annealing antenna placement

ajauhri / evograph
stochastic-optimizers,Exploring different stochastic techniques for optimizing the visual appeal and readability of graphs
User: ajauhri
graph-visualization stochastic-optimizers

chernovsergey / stochastic_optimizers
stochastic-optimizers,Naive implementation of popular stochastic optimizers
User: chernovsergey
numerical-optimization deep-learning stochastic-optimizers

mryawe / cs-dc17
stochastic-optimizers,A stochastic optimizer for the CS-DC’17 World e-conference schedule.
User: mryawe
stochastic-optimizers stochastic-optimization