A state-of-the-art Retrieval-Augmented Generation (RAG) application using OpenAI, Qdrant vector store, embeddings, FastAPI, React for the UI, NewsAPI, Word Cloud, and Langchain. This project enables dynamic reading and QA on news articles, focusing on various people of interest, with real-time, personalized news insights.

A simple python tool for embedding comparison

thebest.gr Patras news crawling about pm2.5 - NLP Techniques - Word embeddings of body text - LSTM Forecasting prediction

This is a web app that integrates GPT-3 with google searches

Link prediction in a Citation Network using text and graph-based features. This work is part of the ALTEGRAD course in the MVA master.

Learning Personality is a bachelor internship project that use neural networks to extract, from natural language (in particular reviews), personality traits, through automatic approaches. @unimib17/18.

To training own words vector by using word2vec

This repository is about producing nballs embeddings for Hindi language which takes into account the word embeddings and hypernym relations among the words.

Reference implementation of the paper "Word Embeddings for Entity-annotated Texts"

This repository contains code for learning word2vec embeddings using skip-gram model

word embedding resources for sentiment classification

My master project at UofL: End-to-End learning framework for circular RNA classification from other long non-coding RNA using multimodal deep learning

Implementation of word2vec in PyTorch

Convolution Neural Network for classification of semantic relations in a sentence