soorgeon
mlrun
soorgeon | mlrun | |
---|---|---|
3 | 3 | |
76 | 1,323 | |
- | 2.2% | |
4.0 | 9.9 | |
4 months ago | 5 days ago | |
Python | Python | |
Apache License 2.0 | Apache License 2.0 |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
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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.
soorgeon
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Tips and Tricks to Use Jupyter Notebooks Effectively
If you're looking to improve your Jupyter workflow, check out Ploomber's open-source projects: Ploomber for developing modular data pipelines, Soorgeon for refactoring and cleaning), or nbsnapshot for notebook testing.
- Soorgeon - automated Jupyter notebook refactoring
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How to turn my data processing code into a pipeline?
If you're working with .py or .ipynb I recommend ploomber, there's lots of flexibility on the input/output formats and you can interactively check out your data and work with Git. There's also an automatic tool that converts it to a pipeline for you via the H2 headings.
mlrun
- Discussion on Need of Feature Stores
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I reviewed 50+ open-source MLOps tools. Hereβs the result
You should also add MLRun: https://github.com/mlrun/mlrun
- Has anyone here been able to deploy Mlrun successfully on Kubernetes cluster?
What are some alternatives?
ploomber - The fastest β‘οΈ way to build data pipelines. Develop iteratively, deploy anywhere. βοΈ
feast - The Open Source Feature Store for Machine Learning
polyaxon - MLOps Tools For Managing & Orchestrating The Machine Learning LifeCycle
dagster-example-pipeline - Template Dagster repo using poetry and a single Docker container; works well with CICD
flyte - Scalable and flexible workflow orchestration platform that seamlessly unifies data, ML and analytics stacks.
nbsnapshot - Automated Jupyter notebook testing. π
SmartSim - SmartSim Infrastructure Library.
dagster - An orchestration platform for the development, production, and observation of data assets.
phidata - Build AI Assistants with memory, knowledge and tools.
mosec - A high-performance ML model serving framework, offers dynamic batching and CPU/GPU pipelines to fully exploit your compute machine