A transformer-based NLP approach for embedding mental health posts from cancer patients and their caregivers
-
Updated
Jan 17, 2024 - Jupyter Notebook
A transformer-based NLP approach for embedding mental health posts from cancer patients and their caregivers
FastAPI service to generate text embeddings. Currently supports instructor models and has GPU support.
We propose a novel method of fine-tuning the model for a particular downstream task, which proves to be more efficient and generalizable. We show that in an example of a fake news detection task, utilizing three distinct datasets and outperforming the baseline model in both the same dataset and cross-dataset zero-shot test.
Generating faces with GANs and analyzing embedding space distribution for different classes as a Bachelor's Thesis at BUT FIT.
NLP LSTM model to predict python codes (Text prediction) (Tokenized special characters)
A tool for identifying related text in large chunk of text
natural language model
rate customer reviews
Visualization of Bengali Word Embeddings
This repository provides a streamlit application that enables a user to upload a screenshot which will than be queried against a database of PDF documents. Both the image structure as well as the (possibly) included text are used to find matching documents for a self defined set.
Hybrid Question Answering System project, based on SQuAD Dataset.
Understanding the growth pattern in districts of India using mass media data
Hybrid Question Answering System project, based on SQuAD Dataset
This project is a work-in-progress and serves as an experiment for context injection with GPT and code embeddings. The goal is to use GPT to develop the remaining features of the project.
A semantic search transformer model fine-tuned on the PyTorch GitHub issues dataset, hosted on Hugging Face, and integrated with Streamlit for easy use.
Performing the image retrieval task using neural codes based on the "Neural Codes for Image Retrieval" paper.
Autoencoder to compress distance matrices of pretrained embedding files.
Written a tutorial on learning Entity Embeddings for categorical variables with neural networks for use in tree-based algorithms.
Add a description, image, and links to the embedding-vectors topic page so that developers can more easily learn about it.
To associate your repository with the embedding-vectors topic, visit your repo's landing page and select "manage topics."