dwave-neal
Optimization algorithm
An implementation of a simulated annealing algorithm for approximate Boltzmann sampling or heuristic optimization.
An implementation of a simulated annealing sampler for general Ising model graphs in C++ with a dimod Python wrapper.
51 stars
10 watching
45 forks
Language: Python
last commit: almost 2 years ago
Linked from 1 awesome list
qosf/awesome-quantum-softwareRelated projects:
| Repository | Description | Stars |
|---|---|---|
| dwavesystems/dimod | Provides an API for sampling quadratic and higher-order models used in optimization algorithms | 124 |
| dwavesystems/dwave-cloud-client | Provides a minimal Python interface to interact with D-Wave Systems' quantum annealing resources | 59 |
| dwavesystems/penaltymodel | A library for mapping constraints to low-dimensional optimization problems | 19 |
| dwavesystems/dwavebinarycsp | A library to construct and solve binary quadratic models from constraint satisfaction problems. | 21 |
| dwavesystems/chimera-embedding | A collection of algorithms for generating native-structured embeddings in D-Wave's quantum annealing software. | 28 |
| dwavesystems/dwave-system | An API that simplifies the use of the D-Wave quantum computing system in software applications. | 90 |
| dwavesystems/dwave-networkx | Tools and algorithms for working with quantum networks and graph theory on D-Wave quantum computers | 89 |
 hannah-zhou/optimization_algorithm | A comprehensive collection of optimization algorithms implemented in MATLAB | 178 |
 google/vizier | A Python-based service for optimizing complex objective functions | 1,482 |
 grid-parity-exchange/egret | A Python-based package for solving optimization problems in power systems | 133 |
 jiangoforit/yellowfin_pytorch | An optimizer that automatically tunes momentum and learning rate using local quadratic approximation. | 287 |
 sandialabs/wecopttool | A Python-based toolbox for designing and optimizing wave energy converters with constrained optimal control | 13 |
 cicirello/chips-n-salsa | A Java library of algorithms and data structures for optimization problems | 60 |
 auralius/yadpf | An implementation of dynamic programming algorithms and value iteration methods for optimization problems in various fields | 6 |
 hiroyuki-kasai/sgdlibrary | A collection of stochastic optimization algorithms for large-scale machine learning problems | 218 |