Caffe is a deep learning framework developed by Berkeley AI Research (BAIR) for image classification and segmentation, known for its speed and expressive architecture.. There are currently 4 open-source alternatives to Caffe, with a combined total of 7.6k GitHub stars. The most common language among these projects is Rust.
Showing 4 open-source alternatives
An open-source machine learning framework for building classical, deep, or hybrid ML applications with a focus on performance and portability.
A deep learning framework for Julia inspired by Caffe, featuring modular architecture and multiple backends.
A fast and flexible deep learning system with NumPy-like NDarray interface and easy multi-GPU support.
A lightweight, platform-independent tensor library with autograd for the JVM, accelerated by OpenCL.
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