The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning. Learn more →
Top 5 ml-ops Open-Source Projects
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awesome-production-machine-learning
A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning
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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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awesome-seml
A curated list of articles that cover the software engineering best practices for building machine learning applications.
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WorkOS
The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.
Project mention: Exploring Open-Source Alternatives to Landing AI for Robust MLOps | dev.to | 2023-12-13One trove of treasures is the awesome-production-machine-learning repository on GitHub. This curated list provides a multitude of frameworks, libraries, and software designed to facilitate various stages of the ML lifecycle.
Project mention: Prefect: A workflow orchestration tool for data pipelines | news.ycombinator.com | 2024-03-13
There has been a considerable effort in the last few years to try and standardise the way in which these type of APIs are implemented via different frameworks. However, over the last few years, a new type of functionality has become more and more popular: machine learning (ML) models; and the existing frameworks for building APIs are not well suited for this type of functionality. In this series of posts, we will learn how to build APIs using a Framework for the development of Lightweight Applications and Machine-learning Automation, also known as Flama.
ml-ops related posts
- Show HN: Python Monitoring for LLMs, OpenAI, Inference, GPUs
- Show HN: Python Monitoring for AI: LLMs, OpenAI, Inference, GPUs
- Show HN: Python Monitoring for AI: LLMs, OpenAI, Inference, GPUs
- [N] Monitor OpenAI API Latency, Tokens, Rate Limits, and More with Graphsignal
- Monitor OpenAI API Latency, Tokens, Rate Limits, and More
- What is “production” Machine Learning?
- Sematic – an open-source ML pipelining tool built by ex-Cruise engineers
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A note from our sponsor - WorkOS
workos.com | 29 Apr 2024
Index
What are some of the best open-source ml-ops projects? This list will help you:
Project | Stars | |
---|---|---|
1 | awesome-production-machine-learning | 15,947 |
2 | Prefect | 14,645 |
3 | awesome-seml | 1,195 |
4 | sematic | 942 |
5 | flama | 254 |
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