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

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

Automate preprocessing of tabular data for anomaly detection methods. This pipeline handles data cleaning, normalization, and transformation, making your anomaly detection process efficient and accurate.

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).