lasha-tokyo-2020
DataScienceProjects
lasha-tokyo-2020 | DataScienceProjects | |
---|---|---|
1 | 1 | |
0 | 0 | |
- | - | |
0.0 | 5.9 | |
over 1 year ago | 12 days ago | |
Jupyter Notebook | Jupyter Notebook | |
MIT License | - |
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.
lasha-tokyo-2020
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Lasha's performance... and everyone else's
PS: For anyone interested in how this was made here is the code (https://github.com/ShivanS93/How-good-is-Lasha/tree/main). Also, this link (https://github.com/ShivanS93/How-good-is-Lasha/blob/main/main.ipynb) contains all the rationale behind the decisions I made (i.e. why I didn't use sinclair). Also, apologise if someone has posted something similar to this. And happy for any feedback but be nice!
DataScienceProjects
What are some alternatives?
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awesome-data-centric-ai - Open-Source Software, Tutorials, and Research on Data-Centric AI 🤖
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datadoubleconfirm - Simple datasets and notebooks for data visualization, statistical analysis and modelling - with write-ups here: http://projectosyo.wix.com/datadoubleconfirm.
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