image-crop-analysis VS neural-style-transfer

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

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)

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)
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image-crop-analysis neural-style-transfer
2 1
241 1
3.3% -
0.0 1.6
over 1 year ago over 1 year ago
Jupyter Notebook Jupyter Notebook
Apache License 2.0 MIT License
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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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.

We haven't tracked posts mentioning image-crop-analysis yet.
Tracking mentions began in Dec 2020.

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.

We haven't tracked posts mentioning neural-style-transfer yet.
Tracking mentions began in Dec 2020.

What are some alternatives?

When comparing image-crop-analysis and neural-style-transfer 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

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

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.

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.