mlrun
AquilaHub
Our great sponsors
mlrun | AquilaHub | |
---|---|---|
3 | 2 | |
1,240 | 2 | |
4.8% | - | |
9.9 | 2.9 | |
1 day ago | about 1 month 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
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I reviewed 50+ open-source MLOps tools. Here’s the result
You should also add MLRun: https://github.com/mlrun/mlrun
AquilaHub
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More content by people, for people in Search
At https://aquila.network we’re always thinking of this scenario.
What are some alternatives?
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mosec - A high-performance ML model serving framework, offers dynamic batching and CPU/GPU pipelines to fully exploit your compute machine
ploomber - The fastest ⚡️ way to build data pipelines. Develop iteratively, deploy anywhere. ☁️
Prefect - The easiest way to build, run, and monitor data pipelines at scale.
Media-Recommendation-Engine - A Recommendation Engine API that can be used to recommend movies, music, games, manga, anime, comics, tv shows and books. Deployed using an AWS EC2 instance.
loopquest - A Production Tool for Embodied AI
ublacklist - Blocks specific sites from appearing in Google search results
soorgeon - Convert monolithic Jupyter notebooks 📙 into maintainable Ploomber pipelines. 📊