Data processing pipelines based on PyTorch

Project description

py-tacotree

Toolbox for data processing pipelines.

Knowledge of PyTorch is required. See debug/example_model_sequential.py for how to create a model in tacotree.

This version

1.0.0

Mar 13, 2024

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

Uploaded Mar 13, 2024 Source

Uploaded Mar 13, 2024 Python 3

Hashes for tacotree-1.0.0.tar.gz
Algorithm	Hash digest
SHA256	`454239c8552732157b826b7a98fedf528e5c74faaacf8b36bd5da11c6da6eb0b`
MD5	`11487d4e2c5c97d671f074544b2f9505`
BLAKE2b-256	`8d68b25874b05f811c0b651e9874a0bc4eb5932074d6edaa1dcbb5495f63381b`

Hashes for tacotree-1.0.0-py3-none-any.whl
Algorithm	Hash digest
SHA256	`41951442e860d4f17b6e9a5ad5a5d0749ea1d3c70110142ff6e90261ff341235`
MD5	`fefe719b7154ab4793997603ad0fc76f`
BLAKE2b-256	`5db6910532026f4169c7c91f1b29251e833fbfbddb88b6df058617ecc4d1adfa`