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

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

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

Python package that provides a full range of functionality to process and analyze vibrational spectra (Raman, SERS, FTIR, etc.).

The Frequent Dataset Mining project offers a comprehensive solution for mining frequent itemsets from the extensive Amazon dataset using Apache Kafka. Leveraging the power of distributed computing, this project employs two powerful algorithms, Apriori and PCY, to efficiently process and analyze large volumes of data.

Clean, filter and sample URLs to optimize data collection – includes spam, content type and language filters

Python library for converting numbers to words for all Indian Languages.

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 automated anomaly detection preprocessing pipeline can be used to automatically preprocess tabular data for anomaly detection methods.

set of Data Science and Machine Learning tools

Pre- and post-processing Python library for TOUGH

Breast Cancer Data Analysis: Analyzes and classifies breast cancer data using a Naive Bayes classifier with preprocessing, label encoding, and k-fold cross-validation. Cars Dataset Analysis: Explores a cars dataset with data loading, statistics, and visualizations, including price distribution and correlation heatmap. Hayes-Roth Classification: C

A simple ASCII format to represent music scores, and a music score editor

Dataflow Programming for Machine Learning in R

Software Developer Salaries Analysis and Forecast

🖐️ Background-independent deep learning model for hand sign digit recognition

A simple table data editor, with easily scalable functions and operations & a nice GUI

Retail_Store_Sales -- the task is to use past sales data to predict future sales, with particular attention to the impact of promotional events and major holidays, which are given extra significance in the evaluation.

Sistema de preprocessamento e treinamento de modelos de machine learning utilizando PyCaret. Uma metodologia low-code para processos de MLops

Predicting response time of the Paris Fire Brigade Vehicles