inltk VS DiffCSE

Compare inltk vs DiffCSE and see what are their differences.

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 (by goru001)

DiffCSE

Code for the NAACL 2022 long paper "DiffCSE: Difference-based Contrastive Learning for Sentence Embeddings" (by voidism)
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inltk DiffCSE
1 3
811 286
- -
0.0 0.0
3 months ago over 1 year ago
Python Python
MIT License 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.
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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.

inltk

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

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 inltk and DiffCSE you can also consider the following projects:

allennlp - An open-source NLP research library, built on PyTorch.

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

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

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

smaller-labse - Applying "Load What You Need: Smaller Versions of Multilingual BERT" to LaBSE

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

clip-as-service - 🏄 Scalable embedding, reasoning, ranking for images and sentences with CLIP

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

KitanaQA - KitanaQA: Adversarial training and data augmentation for neural question-answering models

ModelNet40-C - Repo for "Benchmarking Robustness of 3D Point Cloud Recognition against Common Corruptions" https://arxiv.org/abs/2201.12296

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