AI-Art
Neural-Style-Transfer
| AI-Art | Neural-Style-Transfer | |
|---|---|---|
| 1 | 3 | |
| 379 | 9 | |
| - | - | |
| 0.0 | 0.0 | |
| about 2 years ago | almost 3 years ago | |
| Python | Python | |
| MIT License | - |
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AI-Art
Neural-Style-Transfer
What are some alternatives?
cycle-gan-pytorch - This repository contains an implementation of the Cylce-GAN architecture for style transfer along with instructions to train on an own dataset.
coursera-deep-learning-specialization - Notes, programming assignments and quizzes from all courses within the Coursera Deep Learning specialization offered by deeplearning.ai: (i) Neural Networks and Deep Learning; (ii) Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization; (iii) Structuring Machine Learning Projects; (iv) Convolutional Neural Networks; (v) Sequence Models
pytorch-CycleGAN-and-pix2pix - Image-to-Image Translation in PyTorch
image-super-resolution - 🔎 Super-scale your images and run experiments with Residual Dense and Adversarial Networks.
neural-style-pt - PyTorch implementation of neural style transfer algorithm
ada-conv-pytorch
VQGAN-CLIP-Video - Traditional deepdream with VQGAN+CLIP and optical flow. Ready to use in Google Colab.
image-crop-analysis - Code for reproducing our analysis in the paper titled: Image Cropping on Twitter: Fairness Metrics, their Limitations, and the Importance of Representation, Design, and Agency
pytorch-neural-style-transfer - Reconstruction of the original paper on neural style transfer (Gatys et al.). I've additionally included reconstruction scripts which allow you to reconstruct only the content or the style of the image - for better understanding of how NST works.