image-clustering
Easy image clustering tool. (by cobanov)
catalyst
Accelerated deep learning R&D (by catalyst-team)
image-clustering | catalyst | |
---|---|---|
1 | 1 | |
12 | 3,229 | |
- | 0.3% | |
4.8 | 0.0 | |
7 months ago | about 2 months ago | |
Python | Python | |
MIT License | 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.
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.
image-clustering
Posts with mentions or reviews of image-clustering.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-02-06.
catalyst
Posts with mentions or reviews of catalyst.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-12-09.
What are some alternatives?
When comparing image-clustering and catalyst you can also consider the following projects:
image-captioning - Image captioning using python and BLIP
segmentation_models.pytorch - Segmentation models with pretrained backbones. PyTorch.
d2l-en - Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.
pytorch-toolbelt - PyTorch extensions for fast R&D prototyping and Kaggle farming