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

Pytorch implementation of Nueral Style transfer (by abhinav-TB)
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image-crop-analysis Neural-Style-Transfer
2 3
249 9
0.8% -
0.0 0.0
over 2 years ago almost 3 years ago
Jupyter Notebook Python
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.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
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For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

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.

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.

What are some alternatives?

When comparing image-crop-analysis and Neural-Style-Transfer you can also consider the following projects:

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.

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

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.

ada-conv-pytorch

neural-style-transfer - :paintbrush: This repository contains, well-structured Python library and runnable fully prepared Python notebook of the "Neural Style Transfer" algorithm

AI-Art - PyTorch (and PyTorch Lightning) implementation of Neural Style Transfer, Pix2Pix, CycleGAN, and Deep Dream!

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.