document-embeddings
There are 22 repositories under document-embeddings topic.
Tixierae/deep_learning_NLP
Keras, PyTorch, and NumPy Implementations of Deep Learning Architectures for NLP
sebischair/Lbl2Vec
Lbl2Vec learns jointly embedded label, document and word vectors to retrieve documents with predefined topics from an unlabeled document corpus.
yumeng5/Spherical-Text-Embedding
[NeurIPS 2019] Spherical Text Embedding
dborrelli/chat-intents
Clustering sentence embeddings to extract message intent
skesiraju/BaySMM
Model for learning document embeddings along with their uncertainties
vgupta123/P-SIF
Source code for our AAAI 2020 paper P-SIF: Document Embeddings using Partition Averaging
ToxyBorg/Hugging-Face-Hub-Langchain-Document-Embeddings
Using Hugging Face Hub Embeddings with Langchain document loaders to do some query answering
waingram/code-embeddings
A Comparative Study of Various Code Embeddings in Software Semantic Matching
ToxyBorg/llama_langchain_documents_embeddings
just testing langchain with llama cpp documents embeddings
monish-prabhu/Intra-Search
A tool for performing semantic search within pdf documents leveraging sentence transformers.
ArikReuter/TNTM
This repository contains the code for the Transformer-Representation Neural Topic Model (TNTM) based on the paper "Probabilistic Topic Modelling with Transformer Representations" by Arik Reuter, Anton Thielmann, Christoph Weisser, Benjamin Säfken and Thomas Kneib
fangrouli/Document-embedding-generation-models
Development and Application of Document Embedding for Semantic Text Retrieval
VajraM-dev/embedorg
A full-stack, containerized platform enabling document management, vector embeddings generation, and semantic search for organizations.
tssujt/document-embedchain
A streamlit app for chat based on embedding documents using langchain
zbmed-semtec/doc2vec-doc-relevance
An approach exploring and assessing literature-based doc-2-doc recommendations using a doc2vec and applying to the RELISH dataset.
zbmed-semtec/hybrid-pre-doc2vec-doc-relevance
Hybrid approach combining dictionary-based NER and doc2vec
zbmed-semtec/word2doc2vec-doc-relevance
An approach exploring and assessing literature-based doc-2-doc recommendations using word2vec combined with doc2vec, and applying it to TREC and RELISH datasets
JoramMillenaar/relate-text
A REST API and CLI tool for managing text embeddings and querying similarities, ideal for NLP and search applications.
mantzaris/TextSpace.jl
A Julia package for text embeddings and related NLP transformations
MelinaNorton/journal-vetter
Python CLI & library for automated journal vetting — GPT‑4.1 summarization, YAML configuration, reproducible analysis.
MorrisXu-Driving/Document-Embedding-Extractor
A CNN-based pooling layer to project a document matrix into a document embedding for fast and efficient retrieval and recommendation based on pre-trained Sentence BERT.