PASS VS Revisiting-Contrastive-SSL

Compare PASS vs Revisiting-Contrastive-SSL and see what are their differences.

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PASS Revisiting-Contrastive-SSL
4 1
257 86
- -
0.0 0.0
almost 2 years ago over 2 years ago
Python Python
MIT License 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.

PASS

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

Revisiting-Contrastive-SSL

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

What are some alternatives?

When comparing PASS and Revisiting-Contrastive-SSL you can also consider the following projects:

auth-source-pass - Integrate Emacs' auth-source with password-store

acoustic-keylogger - Pipeline of a keylogging attack using just an audio signal and unsupervised learning.

unsupervised-depth-completion-visual-inertial-odometry - Tensorflow and PyTorch implementation of Unsupervised Depth Completion from Visual Inertial Odometry (in RA-L January 2020 & ICRA 2020)

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

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

mmselfsup - OpenMMLab Self-Supervised Learning Toolbox and Benchmark

pytorch-metric-learning - The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.

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

TS-TCC - [IJCAI-21] "Time-Series Representation Learning via Temporal and Contextual Contrasting"

lightly - A python library for self-supervised learning on images.

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