This script is used to augment image data created using LabelMe-MIT.
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Updated
Dec 23, 2021 - Python
This script is used to augment image data created using LabelMe-MIT.
Atlantic: Automated Data Preprocessing Framework for Supervised Machine Learning
A convolutional neural network implemented with tensorflow and trained to recognzie the face of famous persian celebrities.
A Python based graphical tool to preprocess tabular datasets
Real-Time BCI for Rock-Paper-Scissors: Decoding Motor Imagery with Minimal Training
Exploring Brain Signal Processing Pipelines for Kaggle Challenges
This automated anomaly detection preprocessing pipeline can be used to automatically preprocess tabular data for anomaly detection methods.
Experimental repository for preprocessing evaluation, enhanced from "Action-Based Conversations Dataset: A Corpus for Building More In-Depth Task-Oriented Dialogue Systems"
computational-pathology-pipeline
This repo is provided pipeline for preprocessing fmri & dti data to functional and structural connectivity matrices
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).
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