Project description

smile-datasets

Python package

Data pipelines for both TensorFlow and PyTorch !

If you want to load public datasets, try:

If you want to load local, personal dataset with minimized boilerplate, use naivenlp-datasets!

pip install -U naivenlp-datasets

If you work with PyTorch, you should install PyTorch first.

If you work with TensorFlow, you should install TensorFlow first.

Here are few examples to show you how to use this library.

These details have not been verified by PyPI

View statistics for this project via Libraries.io, or by using our public dataset on Google BigQuery

This version

0.1.0

Dec 6, 2021

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Uploaded Dec 6, 2021 Source

Uploaded Dec 6, 2021 Python 3

Hashes for naivenlp-datasets-0.1.0.tar.gz
Algorithm	Hash digest
SHA256	`88b0cbcc30ec7cf44abfcf1121ffb20b11fb8ae3c0633a6ebc50e905ec6e8db3`
MD5	`0b272f5cba9ae7be2f3cbe680d6147cd`
BLAKE2b-256	`774e4c2fcfa181a1e88d25ff74b47b76bc75abad8e6ff372f690d97aa49fce05`

Hashes for naivenlp_datasets-0.1.0-py3-none-any.whl
Algorithm	Hash digest
SHA256	`bfe1bd7453fdaa4f00cdb62bd2076ccac606f0709708b8123e480439842f80db`
MD5	`29b3390d471ed0f8b4a0b95fed16e221`
BLAKE2b-256	`8c0b6281d9ca85e0fc3cf40390473fbbbe0d860598757f9767f015909b7c5978`