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Updated
Jul 9, 2021 - Python
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text-labeling
Here are 12 public repositories matching this topic...
Kashgari is a production-level NLP Transfer learning framework built on top of tf.keras for text-labeling and text-classification, includes Word2Vec, BERT, and GPT2 Language Embedding.
nlp
machine-learning
text-classification
named-entity-recognition
seq2seq
transfer-learning
ner
bert
sequence-labeling
nlp-framework
bert-model
text-labeling
gpt-2
frascuchon
commented
Oct 18, 2021
The default RubrixLogHTTPMiddleware record mapper for token classification expect a structured including a text field for inputs. This could make prediction model inputs a bit cumbersome. Default mapper could accepts also flat strings as inputs:
def token_classification_mapper(inputs, outputs):
iA Python package implementing a new interpretable machine learning model for text classification (with visualization tools for Explainable AI
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nlp
machine-learning
natural-language-processing
text-mining
data-mining
text-classification
machine-learning-algorithms
artificial-intelligence
document-classification
sentence-classification
interpretability
multilabel-classification
explainable-artificial-intelligence
interpretable-ml
xai
interpretable-machine-learning
document-categorization
early-classification
text-labeling
ss3-classifier
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Updated
Dec 6, 2021 - Python
visualization
machine-learning
text-classification
supervised-learning
image-classification
bokeh
labeling
audio-classification
annotation-tool
image-labeling
labeling-tool
text-labeling
data-labeling
bulk-labeling
audio-labeling
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Mar 13, 2022 - Python
Data labeling react app that is backend agnostic and can be embedded into your applications — distributed as an NPM package
react
image-annotation
react-components
audio-classification
semantic-segmentation
annotation-tool
pose-estimation
mobx-state-tree
image-labeling
labeling-tool
labelingtool
image-labeling-tool
text-labeling
label-studio
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Mar 22, 2022 - JavaScript
Simplest and fastest image and text annotation tool.
annotation
labeling
semantic-segmentation
semantic-annotation
video-classification
data-annotations
image-labeling
labeling-tool
bounding-box
text-labeling
image-annotation-tool
text-annotation-tool
document-annotation-tool
annotation-tool-online
annotation-tool-offline
computer-vision-annotation-tool
image-texte-video-classification
texte-video-classification
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Updated
Mar 22, 2022 - Jupyter Notebook
Label data using HuggingFace's transformers and automatically get a prediction service
nlp
natural-language-processing
transformers
bert
natural-language-understanding
text-labeling
data-labeling
pytorch-transformers
label-studio
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Oct 17, 2021 - Python
Alternate Implementation for Zero Shot Text Classification: Instead of reframing NLI/XNLI, this reframes the text backbone of CLIP models to do ZSC. Hence, can be lightweight + supports more languages without trading-off accuracy. (Super simple, a 10th-grader could totally write this but since no 10th-grader did, I did) - Prithivi Da
text-classification
weak-labels
zeroshot-learning
text-labeling
text-labelling
zero-shot-classification
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Mar 20, 2022 - Python
Cross-platform GUI to label documents
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Mar 2, 2022 - C++
nlp
named-entity-recognition
data-preparation
data-annotation
spacy-nlp
text-labeling
data-labeling
data-annotation-tools
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Jan 12, 2022 - HTML
Text labeling model for Data Mining classes.
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Updated
Aug 26, 2020 - HTML
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Add a way to change the sample id output in the annotation process to a specific number (see picture).
Reason: I want to annotate large text and the app don't like it when the documents to annotate are too large, so I spitted in a sentence the document but I would like to be able to