Open Source Alternatives

Open source alternatives to Caffe

Open source alternatives to Caffe, ranked by GitHub stars and freshness.

5 open-source alternatives in the index, ranked by GitHub stars and freshness.

Community

PArallel Distributed Deep LEarning: Machine Learning Framework from Industrial Practice （『飞桨』核心框架，深度学习&机器学习高性能单机、分布式训练和跨平台部署）

Best for: Teams building large-scale production ML systems who need distributed training and cross-platform deployment out of the box

Community

OneFlow is a deep learning framework designed to be user-friendly, scalable and efficient.

Best for: Developers who need a high-performance, scalable deep learning framework and are comfortable with C++

Community

MindSpore is a new open source deep learning training/inference framework that could be used for mobile, edge and cloud scenarios.

Best for: Developers seeking an open source deep learning framework for cross-platform deployment from edge to cloud

Community

A minimalist neural network library optimized for sparse data and single machine environments.

Best for: Developers building lightweight neural network models for observability on a single machine

Community

FeatherCNN is a high performance inference engine for convolutional neural networks.

Best for: Developers needing a fast, lightweight C++ inference engine specifically for convolutional neural networks.