Korean R&D document pipeline for patents, grants, papers, and PDFs with KSS-based preprocessing, KoSentenceBERT embeddings, and Qdrant semantic search via FastAPI.
Python CLI & library for automated journal vetting — GPT‑4.1 summarization, YAML configuration, reproducible analysis.
A Fast, Adaptive, Stable, and Transferable Topic Model (NeurIPS 2024)
Top2Vec learns jointly embedded topic, document and word vectors.
This Streamlit application demonstrates the integration of ChatGroq (Llama3 model), OpenAIEmbeddings, and FAISS for document embedding and retrieval.
🍊 PAUSE (Positive and Annealed Unlabeled Sentence Embedding), accepted by EMNLP'2021 🌴
Content-based book recommendation system
Expose a Top2Vec model with a REST API.
An open-source framework to create and test document embeddings using topic models.
Container-first, JSON-configurable, NLP REST service based on Flair
Experiments on Neural Language Embeddings
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