fake-s3
A lightweight server clone of Amazon S3 that simulates most of the commands supported by S3 with minimal dependencies (by jubos)
Made-With-ML
Learn how to design, develop, deploy and iterate on production-grade ML applications. (by GokuMohandas)
| fake-s3 | Made-With-ML | |
|---|---|---|
| 3 | 51 | |
| 2,940 | 35,702 | |
| - | - | |
| 0.0 | 6.8 | |
| about 1 year ago | 5 months ago | |
| Ruby | Jupyter Notebook | |
| - | MIT License |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
fake-s3
Posts with mentions or reviews of fake-s3.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2022-08-10.
- Where do I start to learn MLOPS?
-
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.
Made-With-ML
Posts with mentions or reviews of Made-With-ML.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-06-25.
-
[D] How do you keep up to date on Machine Learning?
Made With ML
- Open-Source Production Machine Learning Course
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Advice for switching careers within analytics
- Develop a (simple!) ML project and apply MLOps best practices to it. Ask Chat GPT all of your MLOps questions. I've joined this MLOps community and it has been very helpful to know what path to follow in order to be better at MLOps, thanks to them I arrived at madewithml, but I haven't done it yet. But it covers all the MLOps side.
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Recommendation for MLOps resources
Hey, I’m also working in ML. Here’s a great resource: https://madewithml.com. Also, check out Noah Gift’s book Practical MLOPs.
- Ask HN: Resource to learn how to train and use ML Models
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Need help to find resources to learn ml ops
Try replicating this setup: https://madewithml.com/
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MLops Resources
madewithml
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Ask HN: How do I get started with MLOps?
There's a really nice website by Goku Mohandas called Made With ML. IMO it is the best practical guide to MLOps out there: https://madewithml.com
Incase you want to dive a little deeper, https://fullstackdeeplearning.com/course/2022/ is also something I have been recommended by folks.
- Resources for Current DE Interested in Learning Data Science
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Do organizations still need machine learning engineers?
madewithml is pretty sweet, especially the MLOps side of things. It'll give you good skills in how development in Python and deploying ML works.
What are some alternatives?
When comparing fake-s3 and Made-With-ML you can also consider the following projects:
LocalStack - 💻 A fully functional local AWS cloud stack. Develop and test your cloud & Serverless apps offline
zero-to-mastery-ml - All course materials for the Zero to Mastery Machine Learning and Data Science course.