Implementing histogram equalization, low-pass and high-pass filter, and laplacian blending of images.
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Updated
Oct 28, 2017 - Python
Implementing histogram equalization, low-pass and high-pass filter, and laplacian blending of images.
Image alpha compositing
Powerful stacking/blending ensemble implementation in python.
Code for efficiently matching sky catalogs using KDTrees and graphs.
All-in-one solution for color management.
This is a script intended to be used along with Automatic 1111 to create a sequence of images by interpolating between multiple prompts.
FastML Framework is a python library that allows to build effective Machine Learning solutions using luigi pipelines.
Optimization algorithms for Machine Learning problems like Hyperparameter tuning and Ensembling.
Stitching RGB/RGBD images into a single image.
This is a weighted blending machine implemented using a neural network. The advantage of using a neural network is that the weights assigned to the models for the final result is assigned by the neural network based on backpropagation.
Final Project Repository for CMU's Learning Based Image Synthesis Course. Based on StyleGAN2-ADA - Official PyTorch implementation
Python Automated Machine Learning library for tabular data.
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 package that implements image blend modes
Python package for stacking (machine learning technique)
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