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-0.1.0.tar.gz
(13.3 kB
view hashes)
Built Distribution
hypatorch-0.1.0-py3-none-any.whl
(14.3 kB
view hashes)
Close
Hashes for hypatorch-0.1.0-py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 017a2fa4bb3f168793604d17851981d40dd78f3e7ba773b5b70c3ecd1d9bd7ff |
|
MD5 | 1d21164d9a5fcea294f55fd762d5711a |
|
BLAKE2b-256 | 05aadcfacba4d18d4ee67174721c320f3957d1058752cffba06c910e2c95b90b |