fake-s3
huggingface-demos
fake-s3 | huggingface-demos | |
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3 | 1 | |
2,940 | - | |
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0.0 | - | |
about 1 year ago | - | |
Ruby | ||
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Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
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fake-s3
- Where do I start to learn MLOPS?
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How to handle cloud resources in your application while running localhost
Something like Localstack, some ruby gems like https://github.com/jubos/fake-s3
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Userbase: tool to add end-to-end encrypted storage and authentication to an app in a few lines of code, 100% open source
Could also use FakeS3 in place of S3. S3 is used for file storage and optimizing database loading as databases grow, so Userbase isn't 100% reliant on it.
huggingface-demos
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Where do I start to learn MLOPS?
At FourthBrain we've recently been hosting a number of public events that try to help guide you step-by-step with code along the path of best practices in MLOps, including one with Hugging Face on end-to-end MLOps (GitLab code here) and one with Databricks on model version control with MLflow (GitHub code here).
What are some alternatives?
LocalStack - 💻 A fully functional local AWS cloud stack. Develop and test your cloud & Serverless apps offline
Made-With-ML - Learn how to design, develop, deploy and iterate on production-grade ML applications.
userbase - Create secure and private web apps using only static JavaScript, HTML, and CSS.
mlops-zoomcamp - Free MLOps course from DataTalks.Club
software-dev-for-mlops-101 - Set up your local environment to do some real Machine Learning Operations software development, just like pro MLOps practitioners.
Moto - A library that allows you to easily mock out tests based on AWS infrastructure.
20220726_Databricks_Demo_Transfer_Learning_with_MLflow - We will go hands-on with an image classification demo using transfer learning, while leveraging MLflow to track our model experiments on Databricks