b2 VS image_edit

Compare b2 vs image_edit and see what are their differences.

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b2 image_edit
1 1
65 11
- -
0.0 0.0
about 3 years ago about 3 years ago
Python 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.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
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.

b2

Posts with mentions or reviews of b2. We have used some of these posts to build our list of alternatives and similar projects.

image_edit

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

What are some alternatives?

When comparing b2 and image_edit you can also consider the following projects:

ipycanvas - Interactive Canvas in Jupyter

Few-Shot-Patch-Based-Training - The official implementation of our SIGGRAPH 2020 paper Interactive Video Stylization Using Few-Shot Patch-Based Training

rover - Interactive Terraform visualization. State and configuration explorer.

BlendGAN - Official PyTorch implementation of "BlendGAN: Implicitly GAN Blending for Arbitrary Stylized Face Generation" (NeurIPS 2021)

blast-radius - Interactive visualizations of Terraform dependency graphs using d3.js

TraVeLGAN_with_perceptual_loss - The implementation code of Thesis project which entitled "Photo-to-Emoji Transformation with TraVeLGAN and Perceptual Loss" as a final project in my master study.

ganspace - Discovering Interpretable GAN Controls [NeurIPS 2020]

c3 - :bar_chart: A D3-based reusable chart library