LinkDist VS Unsupervised-Classification

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

LinkDist

Distillation Self-Knowledge From Contrastive Links to Classify Graph Nodes Without Passing Messages. (by cf020031308)
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LinkDist Unsupervised-Classification
1 2
14 1,308
- -
3.2 1.4
almost 3 years ago 9 months ago
Python Python
- 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.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
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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.

LinkDist

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

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

ContraD - Code for the paper "Training GANs with Stronger Augmentations via Contrastive Discriminator" (ICLR 2021)

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

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

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

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.

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

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

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

cs231n

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

PASS - The PASS dataset: pretrained models and how to get the data

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