similarity VS ContraD

Compare similarity vs ContraD and see what are their differences.

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similarity ContraD
7 1
1,013 190
0.4% -
5.9 0.0
6 months ago about 3 years ago
Python Python
Apache License 2.0 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.

similarity

Posts with mentions or reviews of similarity. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-10-28.

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.
  • [D] What is the smallest dataset you styleGAN2 trained?
    2 projects | /r/MachineLearning | 4 Jun 2021
    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 similarity and ContraD you can also consider the following projects:

pytorch-metric-learning - The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.

stylegan2-ada-pytorch - StyleGAN2-ADA - Official PyTorch implementation

pgANN - Fast Approximate Nearest Neighbor (ANN) searches with a PostgreSQL database.

co-mod-gan - [ICLR 2021, Spotlight] Large Scale Image Completion via Co-Modulated Generative Adversarial Networks

quaterion - Blazing fast framework for fine-tuning similarity learning models

DETReg - Official implementation of the CVPR 2022 paper "DETReg: Unsupervised Pretraining with Region Priors for Object Detection".

ColBERT - ColBERT: state-of-the-art neural search (SIGIR'20, TACL'21, NeurIPS'21, NAACL'22, CIKM'22, ACL'23, EMNLP'23)

LinkDist - Distillation Self-Knowledge From Contrastive Links to Classify Graph Nodes Without Passing Messages.

finetuner - :dart: Task-oriented embedding tuning for BERT, CLIP, etc.

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

Real-Time-Voice-Cloning - Clone a voice in 5 seconds to generate arbitrary speech in real-time

AdamP - AdamP: Slowing Down the Slowdown for Momentum Optimizers on Scale-invariant Weights (ICLR 2021)

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