keepsake
nestedcvtraining
| keepsake | nestedcvtraining | |
|---|---|---|
| 4 | 6 | |
| 1,637 | 27 | |
| 0.0% | - | |
| 0.0 | 0.0 | |
| about 1 year ago | over 1 year ago | |
| Python | Python | |
| Apache License 2.0 | MIT License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
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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.
keepsake
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keepsake VS cascade - a user suggested alternative
2 projects | 5 Dec 2023
- [D] Experiment Tracking Today: What do you use? Pros and cons.
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[D] How to properly version control ML models amid rapid experimentation?
Keepsake
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[D] What’s the simplest, most lightweight but complete and 100% open source MLOps toolkit?
Complementing the given answer, you could check https://github.com/replicate/keepsake for model versioning.
nestedcvtraining
- [P] Nested Cross Validation Library
- Project: Nested Cross Validation Library
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[D] Andrew Ng's data-centric vs model-centric Machine Learning
Once you have your pipeline, model included, with all the transformers defined and parametrized, you could use an optimizing approach like the one in the examples of this library: https://github.com/JaimeArboleda/nestedcvtraining Do you think it will be a good idea? Or am I oversimplifying?
- [D] What’s the simplest, most lightweight but complete and 100% open source MLOps toolkit?
- [P] New library for performing nested cross validation, optimizing, calibrating and reporting quality of binary classification models
What are some alternatives?
dvc - 🦉 ML Experiments and Data Management with Git
Python Packages Project Generator - 🚀 Your next Python package needs a bleeding-edge project structure.
ploomber - The fastest ⚡️ way to build data pipelines. Develop iteratively, deploy anywhere. ☁️
aim - Aim 💫 — An easy-to-use & supercharged open-source experiment tracker.
projects - Sample projects using Ploomber.
clearml - ClearML - Auto-Magical CI/CD to streamline your AI workload. Experiment Management, Data Management, Pipeline, Orchestration, Scheduling & Serving in one MLOps/LLMOps solution
summer - A compartmental disease modelling framework (Python)
guildai - Experiment tracking, ML developer tools
Samosa (समोसा) - Enforce a triangular Git workflow. If this is not possible, explain why.
speech-enhancement - Experiments with speech enhancement