Pytorch implementation of Feature Generation for Long-Tail Classification by Rahul Vigneswaran, Marc T Law, Vineeth N Balasubramaniam and Makarand Tapaswi
-
Updated
Nov 21, 2022 - Jupyter Notebook
Pytorch implementation of Feature Generation for Long-Tail Classification by Rahul Vigneswaran, Marc T Law, Vineeth N Balasubramaniam and Makarand Tapaswi
A database-like benchmark of feature generation from time-series data
This repository generates process mining event log features. Most of the features have been extracted from several process mining scientific papers. Please feel free to use these features in your process mining projects and contribute to the project, if you develop new ideas :)
Automated Data Preprocessing
Machine Learning predictive model to detect impersonation attacks
Implementation of the Radial Descriptor and two histograms: occurrence, and co-occurrence histograms.
Answer to how to select variables in data set and build simpler, faster, more reliable and interpretable ML models
🎬This KickStarter project is about some🎞 foreign films🎥 and music videos🎶. This is an analysis 📽of their 'goal currency' and release time.🎦
Add a description, image, and links to the feature-generation topic page so that developers can more easily learn about it.
To associate your repository with the feature-generation topic, visit your repo's landing page and select "manage topics."