Leveraging fastai to easily load and handle datasets
Project description
fastai-datasets
Docs
See https://irad-zehavi.github.io/fastai-datasets/
Install
pip install fastai_datasets
How to use
from fastai_datasets.mnist import MNIST
MNIST().dls().show_batch()
Project details
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
fastai-datasets-0.0.1.tar.gz
(14.1 kB
view details)
Built Distribution
File details
Details for the file fastai-datasets-0.0.1.tar.gz
.
File metadata
- Download URL: fastai-datasets-0.0.1.tar.gz
- Upload date:
- Size: 14.1 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.11.2
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 35c692cfd5e4b68904a9d307feafbac12284de0768c14b93dc8c1e5628bd8131 |
|
MD5 | bd1e9d55ffbb34caa9f43111a5c375c6 |
|
BLAKE2b-256 | 90c55741916c5908d96461de77fabb92f0a3c59329c149a8645beb2f8ef692ee |
Provenance
File details
Details for the file fastai_datasets-0.0.1-py3-none-any.whl
.
File metadata
- Download URL: fastai_datasets-0.0.1-py3-none-any.whl
- Upload date:
- Size: 15.8 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.11.2
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 721b3ac4e23521abb1786dcf768b4c1993ba7972ea66e118abcf2a22eaecb1ef |
|
MD5 | b21b82dc8f02e86fd867385b731eb58d |
|
BLAKE2b-256 | 06cd96844dec723cc45f5817262bb1c0e990bf2055b76b0ece1afd147628ebab |