kmds_recipes
Repository of kmds recipes for common kmds tasks (by rajivsam)
KMDS
Source for KMDS (by rajivsam)
kmds_recipes | KMDS | |
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2 | 1 | |
2 | 4 | |
- | - | |
8.6 | 9.4 | |
6 days ago | 7 days ago | |
Jupyter Notebook | Jupyter Notebook | |
- | - |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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.
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.
kmds_recipes
Posts with mentions or reviews of kmds_recipes.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2024-03-19.
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KMDS, a package for knowledge managment in data science
KMDS is a python package that helps data scientists and data analysts collaborate and document their analysis and model development projects. A lot of data science work is incremental and experimental. Any reasonable data science project requires choices that are made based on the characteristics of the use case, and, there are many of these that accumalate over time. When it is time to rebuild the model because the data has changed this is forgotten. KMDS fixes this problem. See the kmds wiki for recipes to use kmds: recipes with KMDS The repository is here : KMDS The tl;dr version of the package is here:
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Show HN
KMDS is a library for data scientists and data analysts to capture observations as part of a study or workflow. Recipes for using KMDS with analytics and machine learning tasks are available at: https://github.com/rajivsam/kmds_recipes
KMDS
Posts with mentions or reviews of KMDS.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2024-03-19.