Improved_wgan_training Alternatives

Similar projects and alternatives to improved_wgan_training

stylegan2-pytorch

1,989 3,613 0.0 Python improved_wgan_training VS stylegan2-pytorch

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

1 68 10.0 Python improved_wgan_training VS HashGAN

HashGAN: Deep Learning to Hash with Pair Conditional Wasserstein GAN
InfluxDB

www.influxdata.com sponsored

Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a better improved_wgan_training alternative or higher similarity.

Suggest an alternative to improved_wgan_training

improved_wgan_training reviews and mentions

Posts with mentions or reviews of improved_wgan_training. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-05-08.

[D] Is WGAN-GP gradient penalty applicable to the generator?
2 projects | /r/MachineLearning | 8 May 2022

Code for https://arxiv.org/abs/1704.00028 found: https://github.com/igul222/improved_wgan_training
[D] Is this what WGAN-GP's progression is supposed to look like?
2 projects | /r/MachineLearning | 25 Jan 2021

In addition to the generator output layer differences already pointed out, there are likely other architectural differences. WGAN-GP has a fairly easy-to-use official codebase. I recommend running your dataset through it and verifying whether your implementation gets similar FIDs to it.