MLOps
nn-template
| MLOps | nn-template | |
|---|---|---|
| 1 | 4 | |
| 7 | 614 | |
| - | 1.6% | |
| 1.6 | 7.2 | |
| about 1 year ago | 7 months ago | |
| Jupyter Notebook | Python | |
| MIT License | MIT License |
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MLOps
nn-template
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What libs/boiler plate/platforms do you use to abstract and optimize your workflow when starting a new project? [D]
If I was starting a new project, Iād like to try using this cookiecutter template: https://github.com/grok-ai/nn-template
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MLOps stack using Pycaret
I would pick a project that interests you as that'll help you power through. If there's nothing that comes to mind, image classification is fairly standard. PyCaret does a lot but if you want to understand each of the tools you've listed, I'd recommend tackling each one separately. That being said, I don't think there's anything wrong starting with using a high level library and diving deeper as the need arises. If you do decide to build it piece by piece, it sometimes useful to have a library that'll help you start and remove the boilerplate of all of these tools. I came across a template repo which has a bunch of the tools you've listed which could be a good starting point: https://github.com/lucmos/nn-template
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[P] Generic template to bootstrap your PyTorch project with PyTorch Lightning, Hydra, W&B, DVC, and Streamlit
Link: https://github.com/lucmos/nn-template
- Template to bootstrap your project with PyTorch Lightning, Hydra, W&B and DVC
What are some alternatives?
VevestaX - 2 Lines of code to track ML experiments + EDA + check into Github
lightning-hydra-template - Deep Learning project template best practices with Pytorch Lightning, Hydra, Tensorboard.
bodywork-pipeline-with-aporia-monitoring - Integrating Aporia ML model monitoring into a Bodywork serving pipeline.
lightning-hydra-template - PyTorch Lightning + Hydra. A very user-friendly template for ML experimentation. ā”š„ā”
mlflow-deployments - Source code for the post Effortless deployments with MLFlow, showcasing how logging models using MLFLow can provide you want to easily deploy them in production later.
garage - A toolkit for reproducible reinforcement learning research.
NLP-CNN-Subreddit-Sorter-Heroku-App - End-to-end development of an application using a convolutional neural network that suggests to users/moderators which technical subreddit a post actually belongs to. Novel method to determine # of CNN filters. Custom Word2vec embeddings. The subreddits chosen are all technical and similar, and benefit users/moderators interested in data science and related fields. (Exploratory data analysis, feature engineering, custom word2vec embeddings, convolutional neural network, deployment via flask to Heroku )
pytorch_tempest - My repo for training neural nets using pytorch-lightning and hydra
energy-forecasting - š š§šµš² ššš¹š¹ š¦šš®š°šø š³-š¦šš²š½š š šš¢š½š ššæš®šŗš²šš¼šæšø | šš²š®šæš» š šš & š šš¢š½š for free by designing, building and deploying an end-to-end ML batch system ~ š“š°š¶š³š¤š¦ š¤š°š„š¦ + 2.5 š©š°š¶š³š“ š°š§ š³š¦š¢š„šŖšÆšØ & š·šŖš„š¦š° š®š¢šµš¦š³šŖš¢šš“
fds - Fast Data Science, AKA fds, is a CLI for Data Scientists to version control data and code at once, by conveniently wrapping git and dvc
mdx-net - KUIELAB-MDX-Net got the 2nd place on the Leaderboard A and the 3rd place on the Leaderboard B in the MDX-Challenge ISMIR 2021