embedders VS zshot

Compare embedders vs zshot and see what are their differences.

embedders

With embedders, you can easily convert your texts into sentence- or token-level embeddings within a few lines of code. Use cases for this include similarity search between texts, information extraction such as named entity recognition, or basic text classification. (by code-kern-ai)
Classification Machine Learning named-entity-recognition Natural Language Processing Ner NLP Python representation-learning similarity-search
Source Code
kern.ai
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zshot

Zero and Few shot named entity & relationships recognition (by IBM)
few-shot few-shot-learning ned Ner relation-extraction zero-shot zero-shot-learning spacy NLP AI Deep Learning Machine Learning named-entity-recognition Natural Language Processing natural-language-understanding nlp-library Pytorch relationship-extraction Transformer
Source Code
ibm.github.io
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embedders zshot
1 2
21 319
- 2.2%
5.9 6.6
9 months ago 2 months ago
Python Python
Apache License 2.0 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.

embedders

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

zshot

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

What are some alternatives?

When comparing embedders and zshot you can also consider the following projects:

HanLP - 中文分词 词性标注 命名实体识别 依存句法分析 成分句法分析 语义依存分析 语义角色标注 指代消解 风格转换 语义相似度 新词发现 关键词短语提取 自动摘要 文本分类聚类 拼音简繁转换 自然语言处理

transferlearning - Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习

name-dataset - The Python library for names.

FSL-Mate - FSL-Mate: A collection of resources for few-shot learning (FSL).

NCRFpp - NCRF++, a Neural Sequence Labeling Toolkit. Easy use to any sequence labeling tasks (e.g. NER, POS, Segmentation). It includes character LSTM/CNN, word LSTM/CNN and softmax/CRF components.

bllip-parser - BLLIP reranking parser (also known as Charniak-Johnson parser, Charniak parser, Brown reranking parser) See http://pypi.python.org/pypi/bllipparser/ for Python module.

GoLLIE - Guideline following Large Language Model for Information Extraction

DeepKE - [EMNLP 2022] An Open Toolkit for Knowledge Graph Extraction and Construction

ARElight - Granular Viewer of Sentiments Between Entities in Massively Large Documents and Collections of Texts, powered by AREkit

healthsea - Healthsea is a spaCy pipeline for analyzing user reviews of supplementary products for their effects on health.

Stanza - Stanford NLP Python library for tokenization, sentence segmentation, NER, and parsing of many human languages

spaCy - 💫 Industrial-strength Natural Language Processing (NLP) in Python

embedders vs HanLP zshot vs transferlearning embedders vs name-dataset zshot vs FSL-Mate zshot vs NCRFpp zshot vs bllip-parser zshot vs GoLLIE zshot vs DeepKE zshot vs ARElight zshot vs healthsea zshot vs Stanza zshot vs spaCy