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Kitops Alternatives
Similar projects and alternatives to kitops based on common topics and language
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aqueduct
Aqueduct is no longer being maintained. Aqueduct allows you to run LLM and ML workloads on any cloud infrastructure. (by RunLLM)
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InfluxDB
Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
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glide
🐦 A open blazing-fast simple model gateway for rapid development of production GenAI apps (by EinStack)
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deeplake
Database for AI. Store Vectors, Images, Texts, Videos, etc. Use with LLMs/LangChain. Store, query, version, & visualize any AI data. Stream data in real-time to PyTorch/TensorFlow. https://activeloop.ai
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Activeloop Hub
Discontinued Data Lake for Deep Learning. Build, manage, query, version, & visualize datasets. Stream data real-time to PyTorch/TensorFlow. https://activeloop.ai [Moved to: https://github.com/activeloopai/deeplake] (by activeloopai)
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SaaSHub
SaaSHub - Software Alternatives and Reviews. SaaSHub helps you find the best software and product alternatives
kitops reviews and mentions
- The Docker build – Docker run workflow missing from AI/ML?
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KitOps Release v0.2–Introducing Dev Mode and the ability to chain ModelKits
Currently dev mode is only available on MacOS, although we plan to expand it to additional platforms and include more inference runtimes and utilities for models, data, and code. File an issue in our GitHub repository telling us what platform we should tackle next, or how to improve the Kit dev command in general - we love community feedback!
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Streamlining AI/ML Deployment with ModelKits: Innovations and Future Directions
Yesterday, Brad Micklea, Jozu CEO and KitOps maintainer, was a guest on the Partially Redacted podcast hosted by Sean Falconer. The 45-minute conversation (which you can listen to here) covered a lot of ground. Specifically, they discussed the current state of the KitOps project, where the project is headed, and some of our early ideas for productizing and releasing Jozu, which builds on top of KitOps.
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Introducing the New GitHub Action for using Kit CLI on MLOps pipelines
As we continue to innovate and improve KitOps, your feedback is invaluable to us. Whether you're encountering challenges, have suggestions for new features, or simply want to share your success stories, we're all ears. You can provide feedback on our GitHub repo or our Discord channel.
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Say hello to Kit–An open source solution to MLOps complexity
You can learn more about Kit here: https://kitops.ml, and support us by [giving Kit a star on GitHub]!(https://github.com/jozu-ai/kitops)
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The transitory nature of MLOps: Advocating for DevOps/MLOps coalescence
And checkout the source code here: https://github.com/jozu-ai/kitops
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A note from our sponsor - InfluxDB
www.influxdata.com | 1 Jun 2024
Stats
jozu-ai/kitops is an open source project licensed under Apache License 2.0 which is an OSI approved license.
The primary programming language of kitops is Go.
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