Based on a fork of the amazing mltrainer and mads_datasets by R. Grouls, tytorch is an opinionated base for working with data for and training with pytorch.
The Dataset and DataPipeline follows a strategy pattern that provides for a relatively flat class hierarchy while at the same time allowing for maximum code reuse
The Trainer assumes mlflow for tracking and ray for tuning and is compatible with all the pytorch native dataloaders and objects, as well as the mads_datasets factories and datasets.
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Release files for tytorch 0.8.8
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| tytorch-0.8.8.tar.gz | 121.4 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| tytorch-0.8.8-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 153.7 kB
Release files / tytorch-0.8.8.tar.gz
| Download URL | tytorch-0.8.8.tar.gz |
|---|---|
| Size | 121.4 kB |
| Tags | Source |
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Release files / tytorch-0.8.8-py3-none-any.whl
| Download URL | tytorch-0.8.8-py3-none-any.whl |
|---|---|
| Size | 32.2 kB |
| Tags | Python 3 |
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