Unsupervised-Classification VS DiffCSE

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

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Unsupervised-Classification DiffCSE
2 3
1,308 286
- -
1.4 0.0
9 months ago over 1 year ago
Python Python
GNU General Public License v3.0 or later MIT License
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.

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.

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.

What are some alternatives?

When comparing Unsupervised-Classification and DiffCSE you can also consider the following projects:

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

PromCSE - Code for "Improved Universal Sentence Embeddings with Prompt-based Contrastive Learning and Energy-based Learning (EMNLP 2022)"

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

Revisiting-Contrastive-SSL - Revisiting Contrastive Methods for Unsupervised Learning of Visual Representations. [NeurIPS 2021]

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

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

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.

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

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

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

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