Unsupervised-Classification VS contrastive-reconstruction

Compare Unsupervised-Classification vs contrastive-reconstruction 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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Unsupervised-Classification contrastive-reconstruction
2 1
1,393 13
1.9% -
1.4 10.0
over 1 year ago almost 3 years ago
Python Python
GNU General Public License v3.0 or later 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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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.

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

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

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

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

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

PaddleHelix - Bio-Computing Platform Featuring Large-Scale Representation Learning and Multi-Task Deep Learning “螺旋桨”生物计算工具集

mmselfsup - OpenMMLab Self-Supervised Learning Toolbox and Benchmark

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.

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

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"

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

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Nutrient – The #1 PDF SDK Library, trusted by 10K+ developers
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.
www.nutrient.io
featured

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