Controller generation for Javalin, Helidon SE.
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Updated
Nov 5, 2024 - Java
Controller generation for Javalin, Helidon SE.
AI tool for finding the most aesthetic frames in a video. 🎞️➜🖼️
Convolutional Neural Networks to predict the aesthetic and technical quality of images.
Reproduces the paper NIMA: Neural Image Assessment and adapts the model to evaluate designs generated by genetic algorithms.
A PyTorch NIMA Implementation using DenseNet. NIMA is a research endeavor that rates the aesthetic quality of images
NIMA: Neural IMage Assessment
Assess image quality using Siamese NIMA deep neural network in keras.
🏞A TensorFlow Lite implementation of Google NIMA (Neural Image Assessment)
List of open sourced repos for the flutter create contest
Implementation of technical image quality model based on Google's research paper "NIMA: Neural Image Assessment".
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