neural-style-transfer VS image-crop-analysis

Compare neural-style-transfer vs image-crop-analysis and see what are their differences.

neural-style-transfer

:paintbrush: This repository contains, well-structured Python library and runnable fully prepared Python notebook of the "Neural Style Transfer" algorithm (by egesabanci)

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 (by twitter-research)
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neural-style-transfer image-crop-analysis
1 2
1 249
- 0.8%
3.6 0.0
almost 3 years ago over 2 years ago
Jupyter Notebook Jupyter Notebook
MIT License Apache License 2.0
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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neural-style-transfer

Posts with mentions or reviews of neural-style-transfer. We have used some of these posts to build our list of alternatives and similar projects.
  • Neural Style Transfer in a Most Simple Way
    1 project | dev.to | 17 Jun 2021
    OK, I will let you see the code in a second but I want to give some instructions before starting. I will continue to explain the "Neural Style Transfer" implementation that I have made (You can access the codes from this link). We will continue with the codes and the mathematical background of the algorithm at the same time. So, don't be confused! Please stay on the right track, Sir!

image-crop-analysis

Posts with mentions or reviews of image-crop-analysis. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

When comparing neural-style-transfer and image-crop-analysis you can also consider the following projects:

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

vqgan-clip-generator - Implements VQGAN+CLIP for image and video generation, and style transfers, based on text and image prompts. Emphasis on ease-of-use, documentation, and smooth video creation.

image-super-resolution - 🔎 Super-scale your images and run experiments with Residual Dense and Adversarial Networks.

Face-Mask-Detection - Face Mask Detection system based on computer vision and deep learning using OpenCV and Tensorflow/Keras

oemer - End-to-end Optical Music Recognition (OMR) system. Transcribe phone-taken music sheet image into MusicXML, which can be edited and converted to MIDI.

Neural-Style-Transfer - Pytorch implementation of Nueral Style transfer

computervision-recipes - Best Practices, code samples, and documentation for Computer Vision.

astrophotography_stack_align - Align sequence of star field / astro images taken with a stationary camera (stationary relative to all those stars light years away).

SUBLIME - Semantically Understanding Bias with LIME. Using the LIME-RS Algorithm to understand bias in recommender systems.

OpenFilter - This repository refers to the paper currently under review for the 36th Conference on Neural Information Processing Systems (NeurIPS 2022) Track on Datasets and Benchmarks, under the title "OpenFilter: A Framework to Democratize Research Access to Social Media AR Filters", by Piera Riccio, Bill Psomas, Francesco Galati, Francisco Escolano, Thomas Hofmann and Nuria Oliver.