RAGFlow is an open-source RAG (Retrieval-Augmented Generation) engine based on deep document understanding.
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Updated
May 29, 2024 - Python
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.
This automated anomaly detection preprocessing pipeline can be used to automatically preprocess tabular data for anomaly detection methods.
A simple ASCII format to represent music scores, and a music score editor
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.
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
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
A program that analyzes the correlation between Airflow DAGs and tasks, enabling anomaly detection for error tasks and operator failures.
Web application for recognizing and managing data from Slovak invoices.
A Python parallel processing program using the Kakao API to obtain latitude and longitude coordinates for data addresses.
Data pre-processing with modular components for: normalizer/standarizer, unbiaser, trimmer and feature selector.
Automated Time Series Forecasting
Automagic
log data pre processing in python
Cylon is a fast, scalable, distributed memory, parallel runtime with a Pandas like DataFrame.
Enter your favourite dialogue, it will then be searched for in our dataset. The movie name and rating will be displayed along with three very interactive visualizations in d3.
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