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