Experiments on Neural Language Embeddings
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Updated
Sep 21, 2017 - Python
Experiments on Neural Language Embeddings
Content-based book recommendation system
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.
Container-first, JSON-configurable, NLP REST service based on Flair
A Fast, Adaptive, Stable, and Transferable Topic Model
🍊 PAUSE (Positive and Annealed Unlabeled Sentence Embedding), accepted by EMNLP'2021 🌴
Expose a Top2Vec model with a REST API.
Top2Vec learns jointly embedded topic, document and word vectors.
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."