Top2Vec learns jointly embedded topic, document and word vectors.
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Updated
May 12, 2024 - Python
Top2Vec learns jointly embedded topic, document and word vectors.
Expose a Top2Vec model with a REST API.
🍊 PAUSE (Positive and Annealed Unlabeled Sentence Embedding), accepted by EMNLP'2021 🌴
A Fast, Adaptive, Stable, and Transferable Topic Model
Container-first, JSON-configurable, NLP REST service based on Flair
An open-source framework to create and test document embeddings using topic models.
This Streamlit application demonstrates the integration of ChatGroq (Llama3 model), OpenAIEmbeddings, and FAISS for document embedding and retrieval.
Experiments on Neural Language Embeddings
Content-based book recommendation system
Add a description, image, and links to the document-embedding topic page so that developers can more easily learn about it.
To associate your repository with the document-embedding topic, visit your repo's landing page and select "manage topics."