stochastic-optimizers 开源项目推荐（21 个）

esa /pagmo2

一个 C++ 平台，通过异步广义岛屿模型执行优化任务（全局和局部）的并行计算。

100 /Solid

🎯 A comprehensive gradient-free optimization framework written in Python

hiroyuki-kasai /NMFLibrary

NMFLibrary：非负矩阵分解（NMF）库：版本2.1

locuslab /e2e-model-learning

Task-based end-to-end model learning in stochastic optimization

avaneev /biteopt

Derivative-Free Global Optimization Algorithm (C++, Python binding) - Continuous, Discrete, TSP, NLS, MINLP

hiroyuki-kasai /RSOpt

Riemannian stochastic optimization algorithms: Version 1.0.3

phrb /NODAL.jl

NODAL is an Open Distributed Autotuning Library in Julia

ltatzel /PyTorchHessianFree

PyTorch implementation of the Hessian-free optimizer

gvegayon /ABCoptim

An implementation of the Artificial Bee Colony (ABC) Algorithm

harshraj11584 /Paper-Implementation-Overview-Gradient-Descent-Optimization-Sebastian-Ruder

[Python] [arXiv/cs] Paper "An Overview of Gradient Descent Optimization Algorithms" by Sebastian Ruder

hiroyuki-kasai /Subsampled-RTR

Subsampled Riemannian trust-region (RTR) algorithms

v-iashin /CrossEntropyTSP

An implementation of an approximation of the solution to Traveling Salesman Problem using cross entropy approach on Python 3

robin-vjc /smps

Python Utilities for parsing SMPS files (Stochastic Multistage Optimization)

husk214 /stopt

implementations of optimization algorithms for regularized empirical risk minimization

git-steb /structural-deformable-models

Multi-shape detection algorithm in C++ with OpenGL GUI

darioizzo /pagmo2

A C++ / Python platform to perform parallel computations of optimisation tasks (global and local) via the asynchronous generalized island model.

v-iashin /SamplingChessboardWithQueens

Simulation of an N by M chessboard with K queens such that no queen defeats another using Simulated Annealing

ajauhri /evol-ant-placement

Evolutionary Techniques for Antenna Placement

chernovsergey /stochastic_optimizers

Naive implementation of popular stochastic optimizers

ajauhri /evograph

Exploring different stochastic techniques for optimizing the visual appeal and readability of graphs