Utilities for PyTorch and PyTorch Lightning.
Project description
LightKit
LightKit provides simple utilities for working with PyTorch and PyTorch Lightning. At the moment, it provides three simple features:
- A data loader for tabular data that is orders of magnitude faster than PyTorch's builtin data loader for medium-sized datasets and beyond.
- A mixin for modules that allows to save not only weights, but also the configuration to the file system such that it is easier to retrieve trained models.
- A typed base class for estimators that enables users to easily create estimators with PyTorch and PyTorch Lightning which are fully compatible with Scikit-learn.
For more details, consult the documentation.
Installation
LightKit is available via pip
:
pip install lightkit
If you are using Poetry:
poetry add lightkit
Project details
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
lightkit-0.2.3.tar.gz
(11.3 kB
view details)
Built Distribution
lightkit-0.2.3-py3-none-any.whl
(14.4 kB
view details)
File details
Details for the file lightkit-0.2.3.tar.gz
.
File metadata
- Download URL: lightkit-0.2.3.tar.gz
- Upload date:
- Size: 11.3 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: poetry/1.1.12 CPython/3.9.9 Linux/5.11.0-1022-azure
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 43600e12518c46c1233bf93f184dd229244164cca3e6257a116ffe78d61f73cb |
|
MD5 | 82863094d357a6e85856e3640cedc3ba |
|
BLAKE2b-256 | 3193b37b54c2e66a6bcb9aa0336e92ae90219f3094f4c6653db71cd9749fc833 |
File details
Details for the file lightkit-0.2.3-py3-none-any.whl
.
File metadata
- Download URL: lightkit-0.2.3-py3-none-any.whl
- Upload date:
- Size: 14.4 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: poetry/1.1.12 CPython/3.9.9 Linux/5.11.0-1022-azure
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | e049f45e8041e136405f84a3abec29aac56c86ff29b57b897420cbf484eba5e7 |
|
MD5 | 68f1f2c16808e1410afb9fefc2f85e49 |
|
BLAKE2b-256 | bfbc4dff27da07d312952795c03cdc40d72ac57202340053c1751ca7549ca410 |