speech-enhancement
Experiments with speech enhancement (by MattSegal)
keepsake
Version control for machine learning (by replicate)
Our great sponsors
| speech-enhancement | keepsake | |
|---|---|---|
| 3 | 4 | |
| 22 | 1,637 | |
| - | 0.0% | |
| 0.0 | 0.0 | |
| over 4 years ago | about 1 year ago | |
| Python | Python | |
| - | 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.
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.
speech-enhancement
Posts with mentions or reviews of speech-enhancement.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2021-12-03.
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[Discussion] The most painful thing about machine learning
I find writing smoke tests (described here, code examples: model tests + training loop tests) and running them on every commit in CI (eg GitHub Actions) catches a lot of problem. Using pydantic is good for keeping any config files valid is good - you can smoke test those as well.
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[D] What’s the simplest, most lightweight but complete and 100% open source MLOps toolkit?
Even if detailed unit testing is hard, you can smoke test your models in CI to make sure that they're at least not crashing. More on smoke tests here. Some example smoke tests for a neural net here. Running your tests in GitHub Actions is relatively easy (here).
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[D] How did you manage GPU instances in the public cloud?
use Packer to pre-build an Amazon Machine Image (AMI) to pre-install all the garbage you need to run your code (eg NVIDIA stuff)
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.
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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.
What are some alternatives?
When comparing speech-enhancement and keepsake you can also consider the following projects:
summer - A compartmental disease modelling framework (Python)
dvc - 🦉 ML Experiments and Data Management with Git
nestedcvtraining
ploomber - The fastest ⚡️ way to build data pipelines. Develop iteratively, deploy anywhere. ☁️