Awesome-Diffusion-Models VS ML-University

Compare Awesome-Diffusion-Models vs ML-University and see what are their differences.

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Awesome-Diffusion-Models ML-University
6 6
10,107 798
- -
6.1 3.4
2 months ago 7 months ago
HTML HTML
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.

Awesome-Diffusion-Models

Posts with mentions or reviews of Awesome-Diffusion-Models. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-09-10.

ML-University

Posts with mentions or reviews of ML-University. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-07-20.

What are some alternatives?

When comparing Awesome-Diffusion-Models and ML-University you can also consider the following projects:

denoising-diffusion-pytorch - Implementation of Denoising Diffusion Probabilistic Model in Pytorch

ai-deadlines - :alarm_clock: AI conference deadline countdowns