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Showing 2 open source projects for "coordinate"
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Host LLMs in Production With On-Demand GPUsDeploy your model, get an endpoint, pay only for compute time. No GPU provisioning or infrastructure management required.
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MongoDB Atlas runs apps anywhereMongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
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MLPACK is a C++ machine learning library with emphasis on scalability, speed, and ease-of-use. Its aim is to make machine learning possible for novice users by means of a simple, consistent API, while simultaneously exploiting C++ language features to provide maximum performance and flexibility for expert users. * More info + downloads: https://mlpack.org * Git repo: https://github.com/mlpack/mlpack
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DockerSelenium
Selenium in Docker with Chrome and Firefox
...Letting more than 1 docker-selenium project grow to be able to learn from each other's success or failures ultimately impacts the final users positively. This doesn't discard that at some point all selenium maintainers will sit together a sprint to coordinate some major changes and cleanup open issues and perhaps we might merge N similar projects in the future.
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