Keras-GAN VS Roundtrip

Compare Keras-GAN vs Roundtrip and see what are their differences.

Keras-GAN

Keras implementations of Generative Adversarial Networks. (by eriklindernoren)

Roundtrip

Roundtrip: density estimation with deep generative neural networks (by kimmo1019)
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Keras-GAN Roundtrip
1 1
9,105 61
- -
0.0 4.9
over 1 year ago about 1 year ago
Python Python
MIT License MIT License
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Keras-GAN

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

Roundtrip

Posts with mentions or reviews of Roundtrip. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-04-17.
  • Conditional Density Estimation Models?
    2 projects | /r/learnmachinelearning | 17 Apr 2023
    The two issues I am having are 1. that I don't know what is most recent or capable or advanced in this area of machine learning (HuggingFace doesn't have any), and 2. that the two models I have found - MONDE (Chilinski and Silva, 2020) and Roundtrip (Liu, et al., 2021) - are overk!ll for what I need. Are there any Bayesians out there who could point me to something practical that they have used in their jobs? And if conditional density estimators are not used in your industry, could you explain why that is the case?

What are some alternatives?

When comparing Keras-GAN and Roundtrip you can also consider the following projects:

OASIS - Official implementation of the paper "You Only Need Adversarial Supervision for Semantic Image Synthesis" (ICLR 2021)

scvi-tools - Deep probabilistic analysis of single-cell and spatial omics data

Advanced-Deep-Learning-with-Keras - Advanced Deep Learning with Keras, published by Packt

pytorch-CycleGAN-and-pix2pix - Image-to-Image Translation in PyTorch

SteganoGAN - SteganoGAN is a tool for creating steganographic images using adversarial training.

fashion-mnist - A MNIST-like fashion product database. Benchmark :point_down:

These-People-Do-Not-Exist - AI that generates human faces which have never been seen before. The future is now 😁