Metadata-Version: 2.1
Name: back
Version: 0.1.4
Summary: Backbone for PyTorch training loop
Home-page: https://github.com/EvgenyKashin/backbone
Author: Evgeny Kashin
Author-email: kashinevge@gmail.com
License: MIT
Keywords: pytorch,deep-learning,training-loop,backbone
Platform: UNKNOWN
Requires-Python: >=3.7.0
Description-Content-Type: text/markdown
Requires-Dist: torch
Requires-Dist: torchvision
Requires-Dist: tensorboard
Requires-Dist: pandas
Requires-Dist: pillow
Requires-Dist: tqdm
Requires-Dist: jpeg4py
Requires-Dist: scikit-learn (==0.21.1)
Requires-Dist: albumentations
Requires-Dist: future (==0.17.1)

# Backbone for PyTorch training loop
Will try to keep it minimalistic.

`pip install back`
```python
from back import Bone
```

## Features
- Progress bar
- Checkpoints saving/loading
- Schedulers
- Tensorboard logging
- Early stopping
- Multiple GPUs

## TODO
- [ ] Learning Rate Finder
- [ ] Notebook example
- [ ] Docs/tests

## Docker
`docker build -t backbone_pytorch .`

or

`sudo docker pull digitman/backbone_pytorch:latest`

## Examples
### SRM 
https://github.com/EvgenyKashin/SRMnet

