DiffCSE VS Revisiting-Contrastive-SSL

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

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DiffCSE Revisiting-Contrastive-SSL
3 1
293 88
1.0% -
0.0 0.0
over 2 years ago over 3 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.
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DiffCSE

Posts with mentions or reviews of DiffCSE. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-04-26.

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 DiffCSE and Revisiting-Contrastive-SSL you can also consider the following projects:

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"

SimCSE - [EMNLP 2021] SimCSE: Simple Contrastive Learning of Sentence Embeddings https://arxiv.org/abs/2104.08821

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

Unsupervised-Classification - SCAN: Learning to Classify Images without Labels, incl. SimCLR. [ECCV 2020]

mmselfsup - OpenMMLab Self-Supervised Learning Toolbox and Benchmark

inltk - Natural Language Toolkit for Indic Languages aims to provide out of the box support for various NLP tasks that an application developer might need

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

PromCSE - [EMNLP 2022] Improved Universal Sentence Embeddings with Prompt-based Contrastive Learning and Energy-based Learning

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

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

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

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Nutrient - The #1 PDF SDK Library
Bad PDFs = bad UX. Slow load times, broken annotations, clunky UX frustrates users. Nutrient’s PDF SDKs gives seamless document experiences, fast rendering, annotations, real-time collaboration, 100+ features. Used by 10K+ devs, serving ~half a billion users worldwide. Explore the SDK for free.
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