MegEngine/RepLKNet
Official MegEngine implementation of RepLKNet
RepLKNet is a project for computer vision engineers and researchers working on image classification and similar tasks. It provides a highly optimized model that takes images as input and outputs classified images with improved accuracy. This project helps practitioners who need to train or fine-tune image recognition models with state-of-the-art performance.
286 stars. No commits in the last 6 months.
Use this if you are developing or experimenting with computer vision models and need a highly accurate and efficient architecture for image classification and related tasks, particularly when using the MegEngine framework.
Not ideal if you are not a machine learning practitioner or if your work does not involve training or evaluating image recognition models.
Stars
286
Forks
20
Language
Python
License
Apache-2.0
Category
Last pushed
Apr 17, 2022
Commits (30d)
0
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