PaddleHelix VS Unsupervised-Classification

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

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PaddleHelix Unsupervised-Classification
1 2
1,054 1,393
1.7% 0.0%
8.3 1.4
4 months ago over 1 year ago
Python Python
GNU General Public License v3.0 or later 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.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
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.

PaddleHelix

Posts with mentions or reviews of PaddleHelix. 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 PaddleHelix and Unsupervised-Classification you can also consider the following projects:

dipy - DIPY is the paragon 3D/4D+ medical imaging library in Python. Contains generic methods for spatial normalization, signal processing, machine learning, statistical analysis and visualization of medical images. Additionally, it contains specialized methods for computational anatomy including diffusion, perfusion and structural imaging.

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

DeBERTa - The implementation of DeBERTa

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

eirli - An Empirical Investigation of Representation Learning for Imitation (EIRLI), NeurIPS'21

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

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