HyperGAN VS pytorch-pretrained-BigGAN

Compare HyperGAN vs pytorch-pretrained-BigGAN and see what are their differences.

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HyperGAN pytorch-pretrained-BigGAN
2 1
1,157 902
1.2% 1.6%
0.4 0.0
5 months ago 12 months ago
Python Python
MIT License MIT License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

HyperGAN

Posts with mentions or reviews of HyperGAN. We have used some of these posts to build our list of alternatives and similar projects.

pytorch-pretrained-BigGAN

Posts with mentions or reviews of pytorch-pretrained-BigGAN. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

When comparing HyperGAN and pytorch-pretrained-BigGAN you can also consider the following projects:

lightweight-gan - Implementation of 'lightweight' GAN, proposed in ICLR 2021, in Pytorch. High resolution image generations that can be trained within a day or two

DETReg - Official implementation of the paper "DETReg: Unsupervised Pretraining with Region Priors for Object Detection".

student-teacher-anomaly-detection - Student–Teacher Anomaly Detection with Discriminative Latent Embeddings

dnn_from_scratch - A high level deep learning library for Convolutional Neural Networks,GANs and more, made from scratch(numpy/cupy implementation).