larq/zoo
Reference implementations of popular Binarized Neural Networks
This provides pre-trained Binarized Neural Networks (BNNs) that are highly efficient for tasks like image classification. It takes input images and outputs predictions, such as identifying objects or categories within those images. This is useful for AI engineers and researchers working on deploying deep learning models to resource-constrained environments.
109 stars.
Use this if you need ready-to-use, efficient Binarized Neural Networks for image-related machine learning tasks, especially for deployment on mobile or edge devices.
Not ideal if you are working with traditional full-precision neural networks or if your application does not require extreme computational efficiency and memory savings.
Stars
109
Forks
20
Language
Python
License
Apache-2.0
Category
Last pushed
Mar 17, 2026
Commits (30d)
0
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