image-captioning VS awesome-foundation-and-multimodal-models

Compare image-captioning vs awesome-foundation-and-multimodal-models and see what are their differences.

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image-captioning awesome-foundation-and-multimodal-models
1 1
29 509
- -
3.1 7.5
9 months ago about 2 months ago
Python Python
- -
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.

image-captioning

Posts with mentions or reviews of image-captioning. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-02-06.

awesome-foundation-and-multimodal-models

Posts with mentions or reviews of awesome-foundation-and-multimodal-models. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

When comparing image-captioning and awesome-foundation-and-multimodal-models you can also consider the following projects:

UPop - [ICML 2023] UPop: Unified and Progressive Pruning for Compressing Vision-Language Transformers.

image-clustering - Easy image clustering tool.

BLIP - PyTorch code for BLIP: Bootstrapping Language-Image Pre-training for Unified Vision-Language Understanding and Generation

marqo - Unified embedding generation and search engine. Also available on cloud - cloud.marqo.ai