NPL - Neural Parallel Language
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Updated
May 31, 2024 - C++
NPL - Neural Parallel Language
A local open source PDF chatbot
Introducing ChameleonAI, your very own, customizable roleplaying AI chatbot. Powered by Google's state-of-the-art PALM Generative AI Model, you get to talk to anything, anyone, anywhere!
File search rust aims to develop an efficient file search system for the Windows OS.
RE-Miner Dashboard for Visual Analytics, Review & Market Analysis
Transformers, including the T5 and MarianMT, enabled effective understanding and generating complex programming codes. Consequently, they can help us in Data Security field. Let's see how!
PROJETO DE ANÁLISE DE FAKE NEWS COM A UTILIZAÇÃO DO CORPUS FAKEBR A BIBLIOTECA NLTK EM PYTHON
The StringMetrics project implements 7 string metric algorithms: Hamming, Dice, Jaro, Jaro-Winkler, Soundex, Levenshtein, and Damerau-Levenshtein. Metrics compare strings using IMetric interface providing an approximate similarity score from 0 (no match) to 1 (exact match) useful in data cleansing, record linkage, NLP, fraud detection, etc.
A web app for interview simulation, using AI (under development). GPT based
Netflix movie recommendation system
A Go SDK for the Symbl.ai Platform
Serena is an intelligent and friendly virtual assistant like jarvis designed to simplify your daily tasks and enhance your digital experience. With a focus on natural language understanding and a sleek interface, Serena is here to assist you seamlessly.
High performance unsupervised text tokenization for Ruby
The architectural_cluster.py script performs hierarchical clustering analysis on models, inferring representative labels, calculating silhouette scores, and saving results to an Excel file. The word2vec.py script trains a Word2Vec model, computes pairwise similarity scores, and saves them in a CSV file.
This data sience proyect use NPL to recognize if a text review is positive or negative. And was trained with more than 3 million data.
QueryMate is an AI-powered search engine capable of understanding questions posed in natural language and extracting precise answers from a given data.
PDF summarizer using Azure Cognitive Services
Estudo de caso onde o objetivo será desenvolver um modelo que seja capaz de classificar os sentimentos dos usuários do Twitter com base em seus tweets. Foi treinado um modelo com 800 mil tweets em português separados em classes positivas, negativas e neutras.
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