truss
data-science-ipython-notebooks
| truss | data-science-ipython-notebooks | |
|---|---|---|
| 3 | 1 | |
| 837 | 26,514 | |
| 2.3% | - | |
| 9.6 | 0.0 | |
| 4 days ago | about 2 months ago | |
| Python | Python | |
| MIT License | GNU General Public License v3.0 or later |
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.
truss
- Show HN: Truss – serve any ML model, anywhere, without boilerplate code
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[P] Truss, a new open-source library for model packaging and deployment
At work, I just helped launch Truss, our company’s first open-source project, and I wanted to tell you a bit about it in case it can help you serve and deploy your models.
data-science-ipython-notebooks
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Beginner in Python for Data Science
data science ipython notebooks
What are some alternatives?
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inference-benchmark - Benchmark for machine learning model online serving (LLM, embedding, Stable-Diffusion, Whisper)
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scikit-learn - scikit-learn: machine learning in Python
sports-betting - Collection of sports betting AI tools.
pipeless - An open-source computer vision framework to build and deploy apps in minutes without worrying about multimedia pipelines [Moved to: https://github.com/pipeless-ai/pipeless]
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