Search Results for "swarm"

Bee is a Swarm client implemented in Go. It’s the basic building block for the Swarm network: a private; decentralized; and self-sustaining network for permissionless publishing and access to your (application) data.There are two versioning schemes used in Bee that you should be aware of. The main Bee version does NOT follow strict Semantic Versioning.

Dockerode is a Node.js module that provides a Docker Remote API client, allowing developers to manage Docker containers, images, and networks programmatically within their Node.js applications.

...Automated deployment to production in a few clicks from Jupyter notebook. Deploy one of the example serverless functions or write your own. The dashboard, when running outside an orchestration platform (e.g. Kubernetes or Swarm), will simply be deployed to the local docker daemon. The Getting Started With Nuclio On Kubernetes guide has a complete step-by-step guide to using Nuclio serverless functions over Kubernetes.

...Gobot has a extensible system for connecting to hardware devices. Gobot includes a RESTful API to query the status of any connection, device or robot running in your swarm. It additionally has the ability to issue commands directly to your devices and robots. It also comes with the robeaux React.JS interface baked right into its API server for quick and easy configuration.

Solid is a Python framework for gradient-free optimization. It contains basic versions of many of the most common optimization algorithms that do not require the calculation of gradients, and allows for very rapid development using them.

The MOEA Framework is a free and open source Java library for developing and experimenting with multiobjective evolutionary algorithms (MOEAs) and other general-purpose multiobjective optimization algorithms. The MOEA Framework supports genetic algorithms, differential evolution, particle swarm optimization, genetic programming, grammatical evolution, and more. A number of algorithms are provided out-of-the-box, including NSGA-II, NSGA-III, ε-MOEA, GDE3 and MOEA/D. In addition, the MOEA Framework provides the tools necessary to rapidly design, develop, execute and statistically test optimization algorithms.

Search Agents - a framework for collaboration of meta-heuristic agents