nestedcvtraining VS keepsake

Compare nestedcvtraining vs keepsake and see what are their differences.

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nestedcvtraining keepsake
6 4
27 1,637
- 0.0%
0.0 0.0
over 1 year ago about 1 year ago
Python Python
MIT License Apache License 2.0
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.

nestedcvtraining

Posts with mentions or reviews of nestedcvtraining. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-03-29.

keepsake

Posts with mentions or reviews of keepsake. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-12-05.

What are some alternatives?

When comparing nestedcvtraining and keepsake you can also consider the following projects:

Python Packages Project Generator - 🚀 Your next Python package needs a bleeding-edge project structure.

dvc - 🦉 ML Experiments and Data Management with Git

ploomber - The fastest ⚡️ way to build data pipelines. Develop iteratively, deploy anywhere. ☁️

projects - Sample projects using Ploomber.

aim - Aim 💫 — An easy-to-use & supercharged open-source experiment tracker.

summer - A compartmental disease modelling framework (Python)

clearml - ClearML - Auto-Magical CI/CD to streamline your AI workload. Experiment Management, Data Management, Pipeline, Orchestration, Scheduling & Serving in one MLOps/LLMOps solution

guildai - Experiment tracking, ML developer tools

speech-enhancement - Experiments with speech enhancement

Samosa (समोसा) - Enforce a triangular Git workflow. If this is not possible, explain why.