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Present features for Nebula as well - How should we do it? #48
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Yep I have some idea. Could you please provide a list of features for the Nebula project? |
I'm not certain on how much we should promise as we are quite early, so I decided to give to you two versions. Humble List:
Let's sell this:
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@DarthB I like these a lot! Should we do something like this to highlight on the website: Command-line toolManage datasets and models directly from a powerful CLI. Virtual environmentsRun multiple ML projects on the same machine without conflicts. Dataset managementOrganize datasets by metadata, versions, variants, dependencies, and lifecycles. Pretrained modelsAccess and manage pretrained models with versioning and adaptations. Template projectsUse prebuilt templates based on the Delta framework for faster setup. Public registryBrowse datasets and models shared by the community in the Nebula registry. Private registryHost your own Nebula registry for secure and confidential work. |
This is what we could use for Delta: Also can we make a dark-reddish badge called "future" similar to what we do in the "hero" boxes @SvMak? I would like to highlight things that we plan for. Maybe you could add "future" to all of Nebula and we can remove them once they become ready. Would that be OK with you @DarthB ? FastIt is designed to be fast, ensuring minimal overhead in model training and deployment workflows. UsabilityAPIs are designed for simplicity, making it easy for beginners to get started while providing advanced customization options for experienced users. ExtensibilityThe framework is modular, allowing users to plug in custom layers, optimizers, or preprocessing pipelines tailored to their unique needs. Efficient and scalable toolsIt provides highly efficient and scalable tools for building and training neural networks, supporting both small-scale experiments and large-scale production systems. Distributed and Parallel Training (future)Native support for distributed and parallel training ensures that Delta scales effortlessly across multi-core systems and cloud environments. Classical ML (future)Includes support for classical ML algorithms such as decision trees, random forests, SVMs and more. Integration to Nebula (future)Direct access to datasets and models managed by the Nebula registry, public or private. |
I think that looks good, can we maybe center the whole container also? Maybe that will be nicer? |
The text in the description of the Delta points is longer. The container is currently centered, it can be moved to the right by limiting the width, but this will make the left side even more elongated. I would leave the current view for now. |
If you have any questions, please reopen this issue. |
How could we present features for both Delta and Nebula on the "Features" section? Do you have an idea how we could present that?
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