modelchimp
that_metric_timeline
| modelchimp | that_metric_timeline | |
|---|---|---|
| 1 | 2 | |
| 126 | 20 | |
| 0.0% | - | |
| 0.0 | 0.0 | |
| 6 months ago | about 1 year ago | |
| JavaScript | Python | |
| BSD 2-clause "Simplified" License | GNU General Public License v3.0 only |
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.
modelchimp
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TMT: A KISS library to keep track of experiments, results and code
While there are available libraries at the moment to do this, such as Weights & Biases or Modelchimp, I wanted a library which could be as simple as possible, both for the user and the developer, and completely free...a library based on the KISS principle. My idea is that the researcher/user of the library should also be able to easily adjust and modify the source code of the library, should they feel the need.
that_metric_timeline
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I just released ThatMetricTimeline (TMT), version 0.1.8, a KISS library to keep track of machine learning experiments
There's a much more complete description of it on the github page or on readthedocs. If you're interested, here's the original reddit post back when I first published the library.
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TMT: A KISS library to keep track of experiments, results and code
That's why I've just published That Metric Timeline (TMT) as an open-source project on Github.
What are some alternatives?
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