preprocessing-pipeline

There are 17 repositories under preprocessing-pipeline topic.

  • TsLu1s/atlantic

    Atlantic: Automated Data Preprocessing Framework for Machine Learning

    Language:Python29104

  • ParulParima/LabelMe-Image-Data-Augment-

    This script is used to augment image data created using LabelMe-MIT.

    Language:Python12114

  • Amirarsalan-sn/face_recognition

    A convolutional neural network implemented with tensorflow and trained to recognzie the face of famous persian celebrities.

    Language:Python11200

  • NeelKanwal/Equipping-Computational-Pathology-Systems-with-Artifact-Processing-Pipeline

    computational-pathology-pipeline

    Language:Python6102

  • nabilalibou/online_bci_mi

    Real-Time BCI for Rock-Paper-Scissors: Decoding Motor Imagery with Minimal Training

    Language:Python4200

  • Aalaa4444/preprocessing-for-VITON-models

    preprocessing for VITON models

    Language:Python3100

  • alezanga/dataMole

    A Python based graphical tool to preprocess tabular datasets

    Language:Python3100

  • nabilalibou/EEG_kaggle_sandbox

    Exploring Brain Signal Processing Pipelines for Kaggle Challenges

    Language:Python2100

  • Abdelrahman-Atef-Elsayed/NLP_Preprocessing_pipeline

    This repo includes a generalized preprocessing pipeline for text data in NLP tasks.

    Language:Jupyter Notebook1

  • JAdelhelm/AutoAD

    AutoAD - A framework for the rapid detection of anomalies in (big) datasets

    Language:Jupyter Notebook1101

  • lpapailiou/abcde

    Experimental repository for preprocessing evaluation, enhanced from "Action-Based Conversations Dataset: A Corpus for Building More In-Depth Task-Oriented Dialogue Systems"

    Language:Python1100

  • maryjis/preprocessing_fmri_dti

    This repo is provided pipeline for preprocessing fmri & dti data to functional and structural connectivity matrices

    Language:Jupyter Notebook1100

  • gabridele/dwi-preprocessing

    This is a jupyter notebook with all the basic and necessary steps for dwi preprocessing with CSD. This is basically a transcript/notebook version of Dr. Andrew Jahn's YouTube tutorials (https://youtube.com/playlist?list=PLIQIswOrUH68Zi9SVDAdcUExpq2i6A2eD&feature=shared).

    Language:Jupyter Notebook0100

  • anthony-iheonye/image-mask_dataset_builder

    ImageAndMaskDatasetBuilder is a powerful utility class that streamlines the preprocessing of image-mask datasets for machine learning workflows.

    Language:Jupyter Notebook

  • KesneyFerro/VAPOR

    VAPOR - Video Analysis Processing for Object Recognition is a modular framework for analyzing video quality and its impact on medical reconstruction. VAPOR applies controlled blur effects to quantify relationships between image quality metrics and 3D reconstruction accuracy, removes specularity and addresses floating objects in intrabody images.

    Language:Python

  • Steffin12-git/Random-forest-tree-banking

    This project builds a calibrated Random Forest classifier to predict whether a client will subscribe to a term deposit following a direct marketing campaign. It uses a clean, reproducible pipeline with feature engineering, stratified cross-validation & tuning, and probability calibration.

    Language:Jupyter Notebook

  • tarafard/people-data-analysis

    End-to-end data analysis of HR datasets, focusing on insights and trends.