AquilaHub
mlrun
AquilaHub | mlrun | |
---|---|---|
2 | 3 | |
2 | 1,301 | |
- | 4.7% | |
2.9 | 9.9 | |
3 months ago | 4 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.
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.
AquilaHub
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More content by people, for people in Search
At https://aquila.network we’re always thinking of this scenario.
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Aquila HUB 0.2.0. is released
Release notes: https://github.com/Aquila-Network/AquilaHub/releases/tag/v0.2.0 Release blog: https://blog.aquila.network/now-available-aquila-hub-020
mlrun
- Discussion on Need of Feature Stores
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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
- Has anyone here been able to deploy Mlrun successfully on Kubernetes cluster?
What are some alternatives?
ublacklist - Blocks specific sites from appearing in Google search results
feast - Feature Store for Machine Learning
letsblockit - Remove low-quality content and useless nags, focus on what matters. A community-maintained uBlock Origin filter set.
dagster-example-pipeline - Template Dagster repo using poetry and a single Docker container; works well with CICD
hn-search - Hacker News Search
flyte - Scalable and flexible workflow orchestration platform that seamlessly unifies data, ML and analytics stacks.
SmartSim - SmartSim Infrastructure Library.
phidata - Add memory, knowledge and tools to LLMs
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.