Python package for stacking (machine learning technique)
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Updated
Sep 14, 2020 - Python
Python package for stacking (machine learning technique)
Mirror repository - Modular video-mapping software
Python package that implements image blend modes
This repository contains an example of each of the Ensemble Learning methods: Stacking, Blending, and Voting. The examples for Stacking and Blending were made from scratch, the example for Voting was using the scikit-learn utility.
Python Automated Machine Learning library for tabular data.
Tools to create blend catalogs, produce training samples and implement blending metrics
won silver medal, 164th of 5169
A complete framework for data control and composition in the vvvv visual programming environment.
AnimeGAN2 trained on Arcane
Final Project Repository for CMU's Learning Based Image Synthesis Course. Based on StyleGAN2-ADA - Official PyTorch implementation
Python extension which provides a fast implementation of Adobe Photoshop's blend modes
A Multipurpose RGB-D Dataset for Inpainting and Saliency Applications
Panoramic Image stitching using traditional and supervised and unsupervised deep learning methods to compute Homography
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