LinkDist
Distillation Self-Knowledge From Contrastive Links to Classify Graph Nodes Without Passing Messages. (by cf020031308)
ContraD
Code for the paper "Training GANs with Stronger Augmentations via Contrastive Discriminator" (ICLR 2021) (by jh-jeong)
| LinkDist | ContraD | |
|---|---|---|
| 1 | 1 | |
| 14 | 189 | |
| - | - | |
| 3.2 | 0.0 | |
| almost 3 years ago | over 2 years ago | |
| Python | Python | |
| - | 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.
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.
LinkDist
Posts with mentions or reviews of LinkDist.
We have used some of these posts to build our list of alternatives
and similar projects.
ContraD
Posts with mentions or reviews of ContraD.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2021-06-04.
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[D] What is the smallest dataset you styleGAN2 trained?
Well, I've been trying to train a 1024 GAN from scratch on stylegan2-ada-pytorch with a small dataset 300 samples of not so diversity in images of painting faces. Fact is that on first try FID went as low as 71 and started deteriorating. Now I x-flip augmented the dataset (700 images) and at 900kimg FID went 64 but I doubt it will get lower. I lowered the learning rate to 0.0001 as they say it might help... Recently found this way of dataset augmentation... probably will use this https://github.com/jh-jeong/ContraD
What are some alternatives?
When comparing LinkDist and ContraD you can also consider the following projects:
stylegan2-ada-pytorch - StyleGAN2-ADA - Official PyTorch implementation
co-mod-gan - [ICLR 2021, Spotlight] Large Scale Image Completion via Co-Modulated Generative Adversarial Networks
similarity - TensorFlow Similarity is a python package focused on making similarity learning quick and easy.
DETReg - Official implementation of the CVPR 2022 paper "DETReg: Unsupervised Pretraining with Region Priors for Object Detection".
pytorch-CycleGAN-and-pix2pix - Image-to-Image Translation in PyTorch
AdamP - AdamP: Slowing Down the Slowdown for Momentum Optimizers on Scale-invariant Weights (ICLR 2021)
pix2pixHD - Synthesizing and manipulating 2048x1024 images with conditional GANs