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Top 6 Python auto-ml Projects
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aimet
AIMET is a library that provides advanced quantization and compression techniques for trained neural network models.
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Just for some respite from the discussion of our soon-to-be AI overlords (LLMs), I'm one of the contributors to an open-source Python package, Xplainable (https://github.com/xplainable/xplainable). Xplainable is a novel (structured) machine learning algorithm that's inherently explainable, as opposed to being a post-hoc explainer (like SHAP or Lime).
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NOTE:
The open source projects on this list are ordered by number of github stars.
The number of mentions indicates repo mentiontions in the last 12 Months or
since we started tracking (Dec 2020).
Python auto-ml discussion
Python auto-ml related posts
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Explainable (Structured) Machine Learning Algorithm
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Making deep transfer learning vision easier to work with, Deep Fast Vision (new python library)
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Deep Fast Vision (new python library): Easy Auto-ML for Deep Transfer Learning Vision. Prototype Your Experiments Fast with this New Python Library!
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Git token, how to I encourage git to have me put in a username and password?
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Nylon: An intelligent, flexible grammar of machine learning.
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Nylon: An intelligent, flexible grammar of machine learning.
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[D] Introducing Nylon: build machine learning models with the english language
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Index
What are some of the best open-source auto-ml projects in Python? This list will help you:
| Project | Stars | |
|---|---|---|
| 1 | aimet | 2,162 |
| 2 | MLBox | 1,497 |
| 3 | orion | 287 |
| 4 | nylon | 83 |
| 5 | xplainable | 57 |
| 6 | deep-fast-vision | 13 |
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