Ne2Ne-Image-Denoising VS byol-pytorch

Compare Ne2Ne-Image-Denoising vs byol-pytorch and see what are their differences.

byol-pytorch

Usable Implementation of "Bootstrap Your Own Latent" self-supervised learning, from Deepmind, in Pytorch (by lucidrains)
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Ne2Ne-Image-Denoising byol-pytorch
1 1
27 1,687
- -
3.0 4.8
10 months ago 5 months ago
Python Python
- MIT License
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Ne2Ne-Image-Denoising

Posts with mentions or reviews of Ne2Ne-Image-Denoising. We have used some of these posts to build our list of alternatives and similar projects.

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.

What are some alternatives?

When comparing Ne2Ne-Image-Denoising and byol-pytorch you can also consider the following projects:

SwinIR - SwinIR: Image Restoration Using Swin Transformer (official repository)

simsiam-cifar10 - Code to train the SimSiam model on cifar10 using PyTorch

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

lightly - A python library for self-supervised learning on images.

Transformer-SSL - This is an official implementation for "Self-Supervised Learning with Swin Transformers".

policy-adaptation-during-deployment - Training code and evaluation benchmarks for the "Self-Supervised Policy Adaptation during Deployment" paper.

spaCy - 💫 Industrial-strength Natural Language Processing (NLP) in Python

unsupervised-depth-completion-visual-inertial-odometry - Tensorflow and PyTorch implementation of Unsupervised Depth Completion from Visual Inertial Odometry (in RA-L January 2020 & ICRA 2020)

animessl - Train vision models with vissl + illustrated images