zshot VS bllip-parser

Compare zshot vs bllip-parser and see what are their differences.

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zshot bllip-parser
2 1
320 225
2.5% 0.0%
6.6 1.8
2 months ago over 2 years ago
Python GAP
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.

zshot

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

bllip-parser

Posts with mentions or reviews of bllip-parser. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-08-26.

What are some alternatives?

When comparing zshot and bllip-parser you can also consider the following projects:

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

happy-transformer - Happy Transformer makes it easy to fine-tune and perform inference with NLP Transformer models.

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

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

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.

nlpaug - Data augmentation for NLP

GoLLIE - Guideline following Large Language Model for Information Extraction

Catalyst - 🚀 Catalyst is a C# Natural Language Processing library built for speed. Inspired by spaCy's design, it brings pre-trained models, out-of-the box support for training word and document embeddings, and flexible entity recognition models.

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

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

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

thinc - 🔮 A refreshing functional take on deep learning, compatible with your favorite libraries