German-NER-BERT VS bert-sklearn

Compare German-NER-BERT vs bert-sklearn and see what are their differences.

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German-NER-BERT bert-sklearn
2 1
7 293
- -
0.0 0.0
almost 2 years ago over 1 year ago
Jupyter Notebook Jupyter Notebook
MIT License Apache License 2.0
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.

German-NER-BERT

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

bert-sklearn

Posts with mentions or reviews of bert-sklearn. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-02-08.

What are some alternatives?

When comparing German-NER-BERT and bert-sklearn you can also consider the following projects:

malaya - Natural Language Toolkit for Malaysian language, https://malaya.readthedocs.io/

bert - TensorFlow code and pre-trained models for BERT

docutron - Docutron Toolkit: detection and segmentation analysis for legal data extraction over documents.

OpenAI-CLIP - Simple implementation of OpenAI CLIP model in PyTorch.

kruk - Ukrainian instruction-tuned language models and datasets

NLU-engine-prototype-benchmarks - Demo and benchmarks for building an NLU engine similar to those in voice assistants. Several intent classifiers are implemented and benchmarked. Conditional Random Fields (CRFs) are used for entity extraction.

fake-news - Building a fake news detector from initial ideation to model deployment

ABSA_Project_4 - This project takes advantange of the parsing and part of speech tagging capabilites of Spacy's pipeline in order to extract aspect/opinion/sentiment triplets. Cluster aspects using unsupervised learning to process sentiment for large amazon review datasets.

tf-transformers - State of the art faster Transformer with Tensorflow 2.0 ( NLP, Computer Vision, Audio ).

TabularSemanticParsing - Translating natural language questions to a structured query language

pytorch-sentiment-analysis - Tutorials on getting started with PyTorch and TorchText for sentiment analysis.

adaptnlp - An easy to use Natural Language Processing library and framework for predicting, training, fine-tuning, and serving up state-of-the-art NLP models.