Common Pitfalls To Avoid When Using Vector Databases
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Organize your entire project under one roof. Code, data, models, pipelines, experiments, annotations. The things every machine learning professional needs.
Take notes on the best model architecture, discuss your annotations, or review a team member’s contribution. Build a knowledge base for your future self and your team.
No need to send screenshots or email files. With DagsHub, you can send a link to anyone. With our organizations, teams and project permissions, you have control on who can view or edit anything.
Version everything. Explore relationships between data versions, experiments, and get a graph of your project history. When you find a result you want to reproduce, you can fetch all the code, artifacts and configuration with one command.
DagsHub lets you compare and diff all the things data scientists use. Diff Jupyter notebooks, compare table versions, annotations, metadata, even MRI images. All you need to do is push your data to DagsHub Storage.
DagsHub isn't just a set of tools, it's a workflow that adds structure to your project and connects the different pieces in a way that makes sense.
We don't just integrate. We make the set of tools you use better than the sum of each individual part.
Learn more about integrationsDive into the details of an experiment and see the versions of code, data and configuration that led to the results you care about.
DagsHub Annotations lets you create a Label Studio instance with a single click, automatically synced with the datasets tracked on DagsHub Storage. Version the state of your annotations using Git with the Commit button.
DagsHub provides integrated, hosted tools for all your MLOps needs. Leverage the most popular open source tools and formats to version datasets & models with DVC, track experiments with MLflow, label data with Label Studio, and automate anything with Jenkins.
DagsHub integrates standard, popular, open source tools with open APIs, so you don't need to slow down to customize and making lock-in non-existent. Tools that are commonly used by tens of thousands of data science and machine learning professionals worldwide.
Don’t give up control of your critical assets and tech stack. DagsHub is fully modular, making it easy to mix and match the tools you need.
Start by forking or pushing an existing project, or start a new one from a template
Models, data, code, experiments & more are automatically combined into a single interface
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