NL_Parser_using_Spacy
NLP parser using NER and TDD (by vishwapardeshi)
langhuan
Light weight labeling engine (by raynardj)
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| NL_Parser_using_Spacy | langhuan | |
|---|---|---|
| 1 | 2 | |
| 22 | 12 | |
| - | - | |
| 0.0 | 1.8 | |
| over 1 year ago | over 2 years ago | |
| Jupyter Notebook | Jupyter Notebook | |
| - | - |
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.
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.
NL_Parser_using_Spacy
Posts with mentions or reviews of NL_Parser_using_Spacy.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2021-09-01.
langhuan
Posts with mentions or reviews of langhuan.
We have used some of these posts to build our list of alternatives
and similar projects.
What are some alternatives?
When comparing NL_Parser_using_Spacy and langhuan you can also consider the following projects:
bert - TensorFlow code and pre-trained models for BERT
Universal Data Tool - Collaborate & label any type of data, images, text, or documents, in an easy web interface or desktop app.
txtai - 💡 All-in-one open-source embeddings database for semantic search, LLM orchestration and language model workflows
markup - A web-based document annotation tool, powered by GPT-4 :rocket:
refinery - The data scientist's open-source choice to scale, assess and maintain natural language data. Treat training data like a software artifact.
Twitter-sentiment-analysis - A sentiment analysis model trained with Kaggle GPU on 1.6M examples, used to make inferences on 220k tweets about Messi and draw insights from their results.