matthias-wright/flaxmodels
Pretrained deep learning models for Jax/Flax: StyleGAN2, GPT2, VGG, ResNet, etc.
This provides readily available, pre-trained deep learning models like GPT2 for text generation or StyleGAN2 for image creation. It takes a model name and parameters, and outputs a functional, pre-trained neural network. This is useful for AI engineers and researchers working with the Jax/Flax ecosystem.
265 stars. No commits in the last 6 months. Available on PyPI.
Use this if you need to quickly implement and experiment with established deep learning architectures without training them from scratch.
Not ideal if you are looking for models outside of the Jax/Flax framework or need to train a completely custom architecture from the ground up.
Stars
265
Forks
28
Language
Python
License
—
Category
Last pushed
Mar 21, 2025
Commits (30d)
0
Dependencies
12
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