HyperGAN VS lightweight-gan

Compare HyperGAN vs lightweight-gan and see what are their differences.

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 (by lucidrains)
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HyperGAN lightweight-gan
2 5
1,157 1,035
1.2% -
0.4 5.1
5 months ago 3 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.
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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.

lightweight-gan

Posts with mentions or reviews of lightweight-gan. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-08-08.

What are some alternatives?

When comparing HyperGAN and lightweight-gan you can also consider the following projects:

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

anycost-gan - [CVPR 2021] Anycost GANs for Interactive Image Synthesis and Editing

pi-GAN-pytorch - Implementation of π-GAN, for 3d-aware image synthesis, in Pytorch

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

ALAE - [CVPR2020] Adversarial Latent Autoencoders

stylegan2-pytorch - Simplest working implementation of Stylegan2, state of the art generative adversarial network, in Pytorch. Enabling everyone to experience disentanglement