Backbone for PyTorch training loop
Will try to keep it minimalistic.
pip install back
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
1 maintainer
Metadata
1 maintainer
Release files for back 0.1.4
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| back-0.1.4.tar.gz | 4.8 kB | Without provenance | Details for back-0.1.4.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| back-0.1.4-py3-none-any.whl | Python 3 | none | any | Details for back-0.1.4-py3-none-any.whl |
Total release size: 10.0 kB
Release files / back-0.1.4.tar.gz
| Download URL | back-0.1.4.tar.gz |
|---|---|
| Size | 4.8 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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|
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BLAKE2b-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/3.1.1 pkginfo/1.5.0.1 requests/2.22.0 setuptools/41.0.1 requests-toolbelt/0.9.1 tqdm/4.32.1 CPython/3.7.3
|
Release files / back-0.1.4-py3-none-any.whl
| Download URL | back-0.1.4-py3-none-any.whl |
|---|---|
| Size | 5.3 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/3.1.1 pkginfo/1.5.0.1 requests/2.22.0 setuptools/41.0.1 requests-toolbelt/0.9.1 tqdm/4.32.1 CPython/3.7.3
|
Security for back 0.1.4
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