self_supervised VS contrastive-reconstruction

Compare self_supervised vs contrastive-reconstruction and see what are their differences.

self_supervised

Implementation of popular SOTA self-supervised learning algorithms as Fastai Callbacks. (by KeremTurgutlu)

contrastive-reconstruction

Tensorflow-keras implementation for Contrastive Reconstruction (ConRec) : a self-supervised learning algorithm that obtains image representations by jointly optimizing a contrastive and a self-reconstruction loss. (by bayer-science-for-a-better-life)
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self_supervised contrastive-reconstruction
1 1
318 13
- -
0.0 10.0
almost 2 years ago almost 3 years ago
Jupyter Notebook Python
Apache License 2.0 GNU General Public License v3.0 only
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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self_supervised

Posts with mentions or reviews of self_supervised. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-10-15.
  • [D]Use SimCLR as pretraining for image segmentation
    4 projects | /r/MachineLearning | 15 Oct 2022
    You may want to check out pip install self-supervised https://github.com/KeremTurgutlu/self_supervised which benchmarks several selfsupervised methods, here's a SimCLR tutorial https://keremturgutlu.github.io/self_supervised/01%20-%20training_simclr_iwang.html

contrastive-reconstruction

Posts with mentions or reviews of contrastive-reconstruction. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-10-15.

What are some alternatives?

When comparing self_supervised and contrastive-reconstruction you can also consider the following projects:

solo-learn - solo-learn: a library of self-supervised methods for visual representation learning powered by Pytorch Lightning

MAGIST-Algorithm - Multi-Agent Generally Intelligent Simultaneous Training Algorithm for Project Zeta

vissl - VISSL is FAIR's library of extensible, modular and scalable components for SOTA Self-Supervised Learning with images.

Unsupervised-Classification - SCAN: Learning to Classify Images without Labels, incl. SimCLR. [ECCV 2020]

mmselfsup - OpenMMLab Self-Supervised Learning Toolbox and Benchmark

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Other PDF SDKs promise a lot - then break. Laggy scrolling, poor mobile UX, tons of bugs, and lack of support cost you endless frustrations. Nutrient’s SDK handles billion-page workloads - so you don’t have to debug PDFs. Used by ~1 billion end users in more than 150 different countries.
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