Python package for stacking (machine learning technique)
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.
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.
Powerful stacking/blending ensemble implementation in python.
FastML Framework is a python library that allows to build effective Machine Learning solutions using luigi pipelines.
Stitching RGB/RGBD images into a single image.
This is a script intended to be used along with Automatic 1111 to create a sequence of images by interpolating between multiple prompts.
Image alpha compositing
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.
Implementing histogram equalization, low-pass and high-pass filter, and laplacian blending of images.
Code for efficiently matching sky catalogs using KDTrees and graphs.
Run local LLMs on Apple silicon with model-specialized speed using a single-command server for OpenAI- and Anthropic-compatible clients.
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