byol-pytorch
Usable Implementation of "Bootstrap Your Own Latent" self-supervised learning, from Deepmind, in Pytorch (by lucidrains)
Transformer-SSL
This is an official implementation for "Self-Supervised Learning with Swin Transformers". (by SwinTransformer)
| byol-pytorch | Transformer-SSL | |
|---|---|---|
| 1 | 2 | |
| 1,689 | 589 | |
| - | 0.0% | |
| 4.8 | 0.0 | |
| 6 months ago | almost 3 years 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.
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.
byol-pytorch
Posts with mentions or reviews of byol-pytorch.
We have used some of these posts to build our list of alternatives
and similar projects.
-
[R] Improvement to BYOL (Bootstrap Your Own Latent)
Code for https://arxiv.org/abs/2006.07733 found: https://github.com/lucidrains/byol-pytorch
Transformer-SSL
Posts with mentions or reviews of Transformer-SSL.
We have used some of these posts to build our list of alternatives
and similar projects.
-
[R] A new baseline and codebase for self-supervised learning (SSL) with ViT/Swin-Transformer (Microsoft Research)
Github: https://github.com/SwinTransformer/Transformer-SSL
- [P] A new codebase for self-supervised learning with vision Transformers that provides evaluation on down-stream tasks of object detection and semantic segmentation
What are some alternatives?
When comparing byol-pytorch and Transformer-SSL you can also consider the following projects:
simsiam-cifar10 - Code to train the SimSiam model on cifar10 using PyTorch
dino - PyTorch code for Vision Transformers training with the Self-Supervised learning method DINO
pytorch-metric-learning - The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.
Ne2Ne-Image-Denoising - Deep Unsupervised Image Denoising, based on Neighbour2Neighbour training
lightly - A python library for self-supervised learning on images.
Unsupervised-Classification - SCAN: Learning to Classify Images without Labels, incl. SimCLR. [ECCV 2020]
spaCy - 💫 Industrial-strength Natural Language Processing (NLP) in Python
animessl - Train vision models with vissl + illustrated images
byol-pytorch vs simsiam-cifar10
Transformer-SSL vs dino
byol-pytorch vs pytorch-metric-learning
Transformer-SSL vs pytorch-metric-learning
byol-pytorch vs Ne2Ne-Image-Denoising
Transformer-SSL vs lightly
byol-pytorch vs lightly
Transformer-SSL vs Unsupervised-Classification
byol-pytorch vs spaCy
byol-pytorch vs animessl