Yes, there is no documentation at the moment, its not really intended as usable to the outside world atm, I personally need a convenient pip install.
Konductor
Model training framework bundled with performance evaluation and comparison tools for rapid prototyping. Go deep into setting up automatic configuration for ablations or quickly throw in a dataloader, model and loss function and run distributed training in seconds.
- The aims of this project are
Empower you to only need to touch a few parts of the framework to get some wacky non-standard training loop done.
Easily roll in existing code bases into this framework so you can git clone yolo-69, register it to konductor, throw in your data and start training instead of whatever random framework of their codebase.
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1 maintainer
Release files for konductor 0.0.8
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| konductor-0.0.8.tar.gz | 80.5 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| konductor-0.0.8-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 172.9 kB
Release files / konductor-0.0.8.tar.gz
| Download URL | konductor-0.0.8.tar.gz |
|---|---|
| Size | 80.5 kB |
| Tags | Source |
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Release files / konductor-0.0.8-py3-none-any.whl
| Download URL | konductor-0.0.8-py3-none-any.whl |
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| Size | 92.4 kB |
| Tags | Python 3 |
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