ml-art-colabs VS TediGAN

Compare ml-art-colabs vs TediGAN and see what are their differences.

ml-art-colabs

A list of Machine Learning Art Colabs (by dvschultz)

TediGAN

[CVPR 2021] Pytorch implementation for TediGAN: Text-Guided Diverse Face Image Generation and Manipulation. [Moved to: https://github.com/IIGROUP/TediGAN] (by weihaox)
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ml-art-colabs TediGAN
2 1
833 259
- -
1.8 3.5
about 2 years ago over 2 years ago
Jupyter Notebook Python
- MIT License
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.

ml-art-colabs

Posts with mentions or reviews of ml-art-colabs. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-04-03.

TediGAN

Posts with mentions or reviews of TediGAN. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-04-03.

What are some alternatives?

When comparing ml-art-colabs and TediGAN you can also consider the following projects:

awesome-pretrained-stylegan2 - A collection of pre-trained StyleGAN 2 models to download

Awesome-Text-to-Image - (ෆ`꒳´ෆ) A Survey on Text-to-Image Generation/Synthesis.

dl-colab-notebooks - Try out deep learning models online on Google Colab

Awesome-CLIP - Awesome list for research on CLIP (Contrastive Language-Image Pre-Training).