Open source libraries and APIs to build custom preprocessing pipelines for labeling, training, or production machine learning pipelines.
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Updated
May 17, 2024 - HTML
Open source libraries and APIs to build custom preprocessing pipelines for labeling, training, or production machine learning pipelines.
RAGFlow is an open-source RAG (Retrieval-Augmented Generation) engine based on deep document understanding.
Modular components for dataset preprocessing: a data-trimmer, a standarizer, a sliding-window generator and a feature selector, all optionally useable from command-line.
Reports for the course "Elaborazione di dati scientifici"
log data pre processing in python
A tool for processing the input data for the DRYP hydrological model.
An SVG preprocessor that lets you reuse path data with concise and easy-to-understand syntax
Broadly useful data preparation for Flemish Natura 2000 habitat analyses
📽 A Python pip package for converting videos to sequential image frames
A simple ASCII format to represent music scores, and a music score editor
Automated rejection and repair of bad trials/sensors in M/EEG
Automated Time Series Forecasting
An app that finds and compares statistically similar college football teams
This is a multi-class classification machine learning project that focuses on predicting the severity of road accidents, using various machine learning algorithms.
"This repository hosts an implementation of the Singular Value Decomposition (SVD) algorithm tailored for data mining tasks. SVD is utilized for efficient dimensionality reduction, aiding in the extraction of key patterns and features from large and complex datasets."
An open-source library for recognition of speech commands in the user dictionary using audiovisual data of the speaker
A Deep Learning Python Toolkit for Healthcare Applications.
自作のデータセットでファインチューニングした言語モデルを使ったアプリを公開しました
A collection of useful C/C++ macros for manipulating arguments and preprocessing
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