Open source libraries and APIs to build custom preprocessing pipelines for labeling, training, or production machine learning pipelines.
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Updated
Jun 6, 2024 - HTML
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.
A MATLAB toolbox for dealing with FVCOM
RAGFlow is an open-source RAG (Retrieval-Augmented Generation) engine based on deep document understanding.
log data pre processing in python
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.
Automated Time Series Forecasting
RDFRules: Analytical Tool for Rule Mining from RDF Knowledge Graphs
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
A collection of useful C/C++ macros for manipulating arguments and preprocessing
Inject custom code into your HTMl <head> tags with ease
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.
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.
Nextflow bioinformatics pipeline for large-scale analysis of Multiple Myeloma genomes
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