RAGFlow is an open-source RAG (Retrieval-Augmented Generation) engine based on deep document understanding.

NLP预/后处理工具。

This data preprocessing involves loading the dataset, dropping irrelevant columns, handling missing ', and filling missing values in 'Age' and 'Score' with the mean. Additionally, it converts categorical values to numeric for the gender column and applies feature scaling/normalization to the age and score columns using MinMaxScaler.

This repository contains the PMAAD course project from the Artificial Intelligence Degree at Universitat Politècnica de Catalunya. It models and analyzes Spotify's top 40 weekly streamed songs (2017-2021) using R. Techniques include clustering, textual analysis, and geospatial analysis to uncover music trends and characteristics.

This study focuses on four deep-learning models, which are Inception V3, MobileNet V2, ResNet152V2, and VGG19, aiming to enhance the accuracy of tumor Classification

A collection of useful C/C++ macros for manipulating arguments and preprocessing

Open source libraries and APIs to build custom preprocessing pipelines for labeling, training, or production machine learning pipelines.

A MATLAB toolbox for dealing with FVCOM

It's the first homework of Natural Language Processing course in Spring 2024 at Sharif University of Technology. It's about preprocessing and doing some NLP tasks on a dataset.

中文 NLP 预处理、解析工具包，准确、高效、易用 A Chinese NLP Preprocessing & Parsing Package www.jionlp.com

Data pre-processing with modular components for: normalizer/standarizer, unbiaser, trimmer and feature selector.

A Deep Learning Python Toolkit for Healthcare Applications.

log data pre processing in python

Automated Time Series Forecasting

Web application for recognizing and managing data from Slovak invoices.

Data reconstruction and analysis tools for tomography data acquired at the P05 Imaging Beamline (IBL) and the P07 High-Energy Material Science (HEMS) beamline at PETRA III at DESY, both operated by Helmholtz-Zentrum Hereon.

This is a multi-class classification machine learning project that focuses on predicting the severity of road accidents, using various machine learning algorithms.

RDFRules: Analytical Tool for Rule Mining from RDF Knowledge Graphs