HypaTorch: A library for abstract and visual model configuration
Project description
hypaTorch
Highly Abstract Compound Networks in PyTorch
This python package provides a flexible and comprehensive framework for creating compound PyTorch models in an abstract manner.
NOTE: Currently, this package is in beta stage. Extensive documentation and examples will be added soon with the 1.0 release.
Installation
pip install hypatorch
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
hypatorch-0.2.2.tar.gz
(13.5 kB
view hashes)
Built Distribution
hypatorch-0.2.2-py3-none-any.whl
(14.4 kB
view hashes)
Close
Hashes for hypatorch-0.2.2-py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | e532fc415b0f6cd65fa498d91abfc9868a200e4ea78c27d532508c8a9b299d47 |
|
MD5 | 25f84b2eeea6d8b86c763e8ecf174ba3 |
|
BLAKE2b-256 | f41a42b23da6bc56c839ca79fe7129e2bae908f52983f059e724c123177b32b2 |