8 Components & Libraries
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Contributions are encouraged and always welcome! If you like to add or update projects, choose one of the following ways:
Install from pip Install from source code: 举例说明:
As we all know the Machine Learning space has a lot of tools and libraries for creating pipelines to train, test & deploy models, and dealing with these many different APIs can be cumbersome. Our…
We all strive to be data driven and yet every day valuable experiments results are just lost and forgotten. Comet.ml provides a dead simple way of fixing that. Works with any workflow, any ML task, a…
Let's use the native WebRTC with strict compatibility and fully implemented stuff! This project is still under development and isn't ready for any serious use. In the current stage, it's possible to …
Note that you can specify many callbacks, but only one per packet ID
A comparison of Python libraries for static and interactive visualisations of large vector data. Long-listed libraries were first compared by compiling a range of metadata: The short-listed libraries…
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