A convolutional neural network implemented with tensorflow and trained to recognzie the face of famous persian celebrities.
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Updated
Feb 24, 2024 - Python
A convolutional neural network implemented with tensorflow and trained to recognzie the face of famous persian celebrities.
This script is used to augment image data created using LabelMe-MIT.
Atlantic: Automated Data Preprocessing Framework for Machine Learning
A Python based graphical tool to preprocess tabular datasets
Real-Time BCI for Rock-Paper-Scissors: Decoding Motor Imagery with Minimal Training
computational-pathology-pipeline
Exploring Brain Signal Processing Pipelines for Kaggle Challenges
This repo is provided pipeline for preprocessing fmri & dti data to functional and structural connectivity matrices
Experimental repository for preprocessing evaluation, enhanced from "Action-Based Conversations Dataset: A Corpus for Building More In-Depth Task-Oriented Dialogue Systems"
AutoAD - A framework for the rapid detection of anomalies in (big) datasets
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).
preprocessing for VITON models
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