Atlantic: Automated Data Preprocessing Framework for Supervised Machine Learning
-
Updated
Jun 17, 2024 - Python
Atlantic: Automated Data Preprocessing Framework for Supervised Machine Learning
This script is used to augment image data created using LabelMe-MIT.
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
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
Exploring Brain Signal Processing Pipelines for Kaggle Challenges
preprocessing for VITON models
Automated Preprocessing Pipeline - DataFrame
Add a description, image, and links to the preprocessing-pipeline topic page so that developers can more easily learn about it.
To associate your repository with the preprocessing-pipeline topic, visit your repo's landing page and select "manage topics."