Python package for stacking (machine learning technique)
Mirror repository - Modular video-mapping software
Python package that implements image blend modes
A complete framework for data control and composition in the vvvv visual programming environment.
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
AnimeGAN2 trained on Arcane
Final Project Repository for CMU's Learning Based Image Synthesis Course. Based on StyleGAN2-ADA - Official PyTorch implementation
Optimization algorithms for Machine Learning problems like Hyperparameter tuning and Ensembling.
Panoramic Image stitching using traditional and supervised and unsupervised deep learning methods to compute Homography
Point Cloud Rendering Engine with Octree Generation, Splat Blending, Phong Lighting and Neural Network Evaluation
Python extension which provides a fast implementation of Adobe Photoshop's blend modes
Build a predictive machine learning model that could categorize users as either, revenue generating, and non-revenue generating based on their behavior while navigating a website. In order to predict the purchasing intention of the visitor, aggregated page view data kept track during the visit along with some session is used and user information…
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