tango
ai-tools
tango | ai-tools | |
---|---|---|
5 | 1 | |
510 | 1 | |
0.8% | - | |
6.5 | 10.0 | |
6 days ago | 11 months ago | |
Python | Ruby | |
Apache License 2.0 | MIT License |
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tango
- AI2 Tango
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AllenNLP will be unmaintained in December
Maybe we need to re-work the docs if the DAG aspects stick out to you so much. The main functionality is the cache. If you have a complex experiment, you can still write the code as if all the steps were fast, and let them be slow only the first time you run it. The DAG stuff is also nice, but less important.
That said, you could execute sklearn. If that's what your experiment needs, it's the right thing to do. This is why it gives us the flexibility to also support Jax: https://github.com/allenai/tango/pull/313
The DL-specific stuff is in the components we supply. Like the trainer, dataset handling stuff, file formats, and increasingly, https://github.com/allenai/catwalk.
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AI2 Introduces Tango, A Python Library For Choreographing Machine Learning Research Experiments By Executing A Series Of Steps
Tango ensures you never operate on outdated data by taking care of your intermediate and final outcomes and finding them again when needed.
ai-tools
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I created a command-line README Generator
If you're interested, you can find the repository here: https://github.com/jaredcd/ai-tools. This repo's README was generated with the tool, so it's a good example.
What are some alternatives?
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