chrhenning/hypnettorch
Package for working with hypernetworks in PyTorch.
This package helps machine learning researchers and practitioners implement and experiment with hypernetworks in PyTorch. It takes a base neural network architecture as input and generates its weights using a hypernetwork, enabling advanced deep learning techniques. This is designed for those exploring complex neural network structures and continual learning.
132 stars. No commits in the last 6 months. Available on PyPI.
Use this if you are a machine learning researcher or engineer working with PyTorch and need tools to easily build and integrate hypernetworks into your models.
Not ideal if you are looking for a high-level, off-the-shelf solution for common machine learning tasks without diving into the specifics of neural network architectures.
Stars
132
Forks
15
Language
Python
License
Apache-2.0
Category
Last pushed
Sep 07, 2023
Commits (30d)
0
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