mlrun
soorgeon
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mlrun | soorgeon | |
---|---|---|
3 | 3 | |
1,294 | 73 | |
6.0% | - | |
9.9 | 4.0 | |
4 days ago | 3 months 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.
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.
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?
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.
What are some alternatives?
feast - Feature Store for Machine Learning
ploomber - The fastest β‘οΈ way to build data pipelines. Develop iteratively, deploy anywhere. βοΈ
dagster-example-pipeline - Template Dagster repo using poetry and a single Docker container; works well with CICD
polyaxon - MLOps Tools For Managing & Orchestrating The Machine Learning LifeCycle
flyte - Scalable and flexible workflow orchestration platform that seamlessly unifies data, ML and analytics stacks.
SmartSim - SmartSim Infrastructure Library.
nbsnapshot - Automated Jupyter notebook testing. π
phidata - Build AI Assistants with memory, knowledge and tools.
dagster - An orchestration platform for the development, production, and observation of data assets.
mosec - A high-performance ML model serving framework, offers dynamic batching and CPU/GPU pipelines to fully exploit your compute machine