dwavebinarycsp
Binary model builder
Constructs a binary quadratic model from a constraint satisfaction problem with small constraints over binary variables
Map constraint satisfaction problems with binary variables to binary quadratic models.
21 stars
9 watching
29 forks
Language: Python
last commit: 3 months ago
Linked from 1 awesome list
qosf/awesome-quantum-softwareRelated projects:
| Repository | Description | Stars |
|---|---|---|
| dwavesystems/penaltymodel | A library for mapping constraints to low-dimensional optimization problems | 19 |
| dwavesystems/dimod | Provides an API for sampling quadratic and higher-order models used in optimization algorithms | 124 |
| dwavesystems/dwave-neal | An implementation of a simulated annealing algorithm for approximate Boltzmann sampling or heuristic optimization. | 51 |
| dwavesystems/dwave-system | An API that simplifies the use of the D-Wave quantum computing system in software applications. | 90 |
| dwavesystems/dwave-cloud-client | Provides a minimal Python interface to interact with D-Wave Systems' quantum annealing resources | 59 |
| dwavesystems/chimera-embedding | A collection of algorithms for generating native-structured embeddings in D-Wave's quantum annealing software. | 28 |
 tensorflow/lattice | A library for creating constraint-based interpolation models in TensorFlow | 519 |
| dwavesystems/dwave-networkx | Tools and algorithms for working with quantum networks and graph theory on D-Wave quantum computers | 89 |
 bsiddiqui/bookshelf-modelbase | Convenient features for building model classes in Bookshelf.js | 150 |
 compwa/tensorwaves | A Python package for optimizing mathematical models to data samples using multiple computational back-ends. | 10 |
 microsoft/neuronblocks | A toolkit for building and deploying neural network models for natural language processing tasks. | 1,448 |
 deltares/hydromt | Automates spatial geoscientific model building and analysis from raw data | 76 |
 prawn-cake/simple-models | A library to create validated dictionaries with flexible data structures and nested models. | 14 |
 dasmulli/data-builder-generator | Generates builder classes for model classes with predefined property names. | 116 |
 alan-turing-institute/deepsensor | Provides an interface for building and evaluating neural process models for environmental prediction tasks using Python libraries. | 97 |