plandes/deepnlp
Deep learning utility library for natural language processing (NLP-OSS paper)
DeepZensols Natural Language Processing helps researchers and data scientists quickly build and experiment with deep learning models for text. It takes raw text or linguistic features as input and outputs numerical representations (embeddings) that can be fed into deep learning models. This tool is for anyone working on tasks like sentiment analysis, named entity recognition, or text classification who wants to leverage advanced NLP techniques without extensive coding.
Use this if you need to rapidly prototype and evaluate deep learning NLP models using a variety of embedding techniques and architectures for text-based problems.
Not ideal if you are looking for a pre-trained, ready-to-use NLP application or do not have a basic understanding of deep learning concepts.
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Last pushed
Jan 04, 2026
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