Some loss functions for deep learning.
Project description
PyLoss
.
├── LICENSE
├── pyloss
│ ├── __init__.py
│ ├── pixel_based
│ │ ├── __init__.py
│ │ ├── cross_entropy.py
│ │ ├── mae_mse.py
│ │ └── total_variation.py
│ ├── region_based
│ │ ├── __init__.py
│ │ ├── dice_iou.py
│ │ ├── hel.py
│ │ └── ssim.py
│ └── utils
│ ├── __init__.py
│ ├── convert_onehot.py
│ └── misc.py
├── pyproject.toml
└── README.md
Some loss functions for deeplearning.
pip install losspy
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
losspy-0.1.1.tar.gz
(8.4 kB
view details)
Built Distribution
losspy-0.1.1-py3-none-any.whl
(11.9 kB
view details)
File details
Details for the file losspy-0.1.1.tar.gz.
File metadata
- Download URL: losspy-0.1.1.tar.gz
- Upload date:
- Size: 8.4 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.4.1 importlib_metadata/3.10.0 pkginfo/1.7.0 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.59.0 CPython/3.9.2
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | fe79c7ced0165737fe6b4b96f3189e5a3fbdf012ecd92ea9ec7b4f8632e48edf |
|
| MD5 | 44dad6da1b426c91c9d30f8d8d573521 |
|
| BLAKE2b-256 | 36512b4941ce58a7e576311e15deecb3953449339ed2a73e2f0423e29fd8a2c3 |
File details
Details for the file losspy-0.1.1-py3-none-any.whl.
File metadata
- Download URL: losspy-0.1.1-py3-none-any.whl
- Upload date:
- Size: 11.9 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.4.1 importlib_metadata/3.10.0 pkginfo/1.7.0 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.59.0 CPython/3.9.2
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 31e6f977731cca73318f7dd28a938655b88adcdf9fc15a32df92f229a8931d68 |
|
| MD5 | 663103760ce0100ab8ff4d013a82d34d |
|
| BLAKE2b-256 | f6e46536927c37593797d5d91c4c615ecfbe464c2d936a61864ddde2f175dbd2 |
