contrastive-reconstruction VS Unsupervised-Classification

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

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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contrastive-reconstruction Unsupervised-Classification
1 2
13 1,366
- -
10.0 1.4
almost 3 years ago over 1 year ago
Python Python
GNU General Public License v3.0 only GNU General Public License v3.0 or later
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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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.

Unsupervised-Classification

Posts with mentions or reviews of Unsupervised-Classification. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-04-13.

What are some alternatives?

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

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

simclr - SimCLRv2 - Big Self-Supervised Models are Strong Semi-Supervised Learners

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

self-supervised - Whitening for Self-Supervised Representation Learning | Official repository

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

Unsupervised-Semantic-Segmentation - Unsupervised Semantic Segmentation by Contrasting Object Mask Proposals. [ICCV 2021]

self_supervised - Implementation of popular SOTA self-supervised learning algorithms as Fastai Callbacks.

DiffCSE - Code for the NAACL 2022 long paper "DiffCSE: Difference-based Contrastive Learning for Sentence Embeddings"

mmselfsup - OpenMMLab Self-Supervised Learning Toolbox and Benchmark

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

SimMIM - This is an official implementation for "SimMIM: A Simple Framework for Masked Image Modeling".

vectorrvnn - Data Driven method for hierarchical grouping of paths in Vector Graphics.

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