deepsvg
Made-With-ML
| deepsvg | Made-With-ML | |
|---|---|---|
| 2 | 51 | |
| 885 | 35,801 | |
| - | - | |
| 4.0 | 6.8 | |
| 14 days ago | 5 months ago | |
| Jupyter Notebook | Jupyter Notebook | |
| MIT License | MIT License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
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deepsvg
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[D] MNIST-like dataset in SVG format
I'd like to start experimenting with image classification in SVG format. I've found the deepsvg library that seems to have a solid basis on how to handle SVG files. Unfortunately it doesn't seem there's a large body of resesarch in the area and I am struggling to find a MNIST-like datset in SVG format.
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if Midjourney could "write" I would pay 100 dollar subscription. I mean look at these logos, and they aren't even the best one so far, just what I tried out yesterday. When the words would be what you wanted it would have such a big value.
Cursory google search: https://github.com/alexandre01/deepsvg
Made-With-ML
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[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?
TensorFlow2.0_Notebooks - Implementation of a series of Neural Network architectures in TensorFow 2.0
zero-to-mastery-ml - All course materials for the Zero to Mastery Machine Learning and Data Science course.
vtracer - Raster to Vector Graphics Converter
mlops-zoomcamp - Free MLOps course from DataTalks.Club
lovely-tensors - Tensors, ready for human consumption
FLAML - A fast library for AutoML and tuning. Join our Discord: https://discord.gg/Cppx2vSPVP.
diffae - Official implementation of Diffusion Autoencoders
mlops-course - Learn how to design, develop, deploy and iterate on production-grade ML applications.
strv-ml-mask2face - Virtually remove a face mask to see what a person looks like underneath
practical-mlops-book - [Book-2021] Practical MLOps O'Reilly Book
fastai - The fastai deep learning library
Copulas - A library to model multivariate data using copulas.