nndeploy - an asy-to-use and high-performance AI deployment framework #1729
Conversation
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
1 participant
Add this suggestion to a batch that can be applied as a single commit.
This suggestion is invalid because no changes were made to the code.
Suggestions cannot be applied while the pull request is closed.
Suggestions cannot be applied while viewing a subset of changes.
Only one suggestion per line can be applied in a batch.
Add this suggestion to a batch that can be applied as a single commit.
Applying suggestions on deleted lines is not supported.
You must change the existing code in this line in order to create a valid suggestion.
Outdated suggestions cannot be applied.
This suggestion has been applied or marked resolved.
Suggestions cannot be applied from pending reviews.
Suggestions cannot be applied on multi-line comments.
Suggestions cannot be applied while the pull request is queued to merge.
Suggestion cannot be applied right now. Please check back later.
nndeploy: An Easy-to-Use and High-Performance AI Deployment Framework
Hello, it's our honor to recommend the nndeploy project to you.
nndeploy is an easy-to-use and high-performance AI deployment framework, primarily written in C++17. Based on visual workflows and multi-platform inference, developers can quickly develop SDKs for specified platforms and hardware from algorithm repositories, significantly saving development time. In addition, the framework has deployed numerous AI models including LLM, AIGC generation, face swapping, object detection, image segmentation, and many others, which are ready to use out of the box.