Documents classification using KNN Algorithm a graph based approach along with scrapped data

fastapi server for classification of documents and extraction of data

The open-sourced version of the award-winning Qiqqa research management tool for Windows (a bleeding edge dev fork) ・ ・ ・ ・ ・ ・ ・ ・ ・ ・ ・ ・ ・ ・ ・ ・ ・ ・ ・ ・ ・ ・ ・ ・ ・ ・ ・ ・ ・ ・ ・ ・ ・ ・ ・ ・ ・ ・ ・ ・ ・ ・ ・ ・ ・ ・ ☞☞☞ File any issues you find in the main repo issue tracker at https://github.com/jimmejardine/qiqqa-open-source/issues

A zero-shot document classifier.

Classification of Documents Using Graph-Based Features and KNN This project offers hands-on experience with graph theory and machine learning, fostering skills in data representation, algorithm implementation, and analytical thinking in the context of document classification.

Classification using deep-learning additive technique and multimodal inputs.

Document classification with Hierarchical Attention Networks in TensorFlow. WARNING: project is currently unmaintained, issues will probably not be addressed.

An innovative project that integrates graph theory and machine learning techniques to classify documents into predefined topics. By leveraging graph representations of documents and employing the K-Nearest Neighbors (KNN) algorithm, this project aims to provide a robust system for document classification

A simple experimental document classification tool based on a domain-dependent, keywords-based document class map and a keyword frequency score

MSc project investigating multi-modal fusion approaches to combining textual and visual features for multi-page classification of documents within the OGA National Data Repository (NDR).

[Software Engineering]

GDMatrix is a modular document management system that provides an integrated set of services and applications designed to meet the requirements of public administrations.

Binary classifier to identify scientific publications reporting pharmacokinetic parameters estimated in vivo

Arquivos e materiais utilizados na disciplina GSI024 - Organização e Recuperação da Informação da UFU.

finetune text classification model

HDLTex: Hierarchical Deep Learning for Text Classification

Implementing a multinomial naive bayes classifier for a bag of words model from scratch in Python3

Document Classification using Bert | 97 % accuracy | FastAPI, Docker, Shell