BVLC/caffe
Caffe: a fast open framework for deep learning.
Caffe helps researchers and engineers quickly build and experiment with deep learning models, especially for computer vision tasks. You can input various image datasets and model architectures to train classification, object detection, or segmentation models. This is ideal for machine learning practitioners, AI researchers, and data scientists working on advanced image analysis.
34,770 stars. No commits in the last 6 months.
Use this if you need a fast, modular framework to design and train deep learning models for visual data, and you value a well-established open-source community.
Not ideal if you primarily work with non-vision data types, or if you prefer higher-level APIs and extensive automatic differentiation features often found in newer frameworks.
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C++
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Last pushed
Jul 31, 2024
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