Open source alternatives to Apache MXNet

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

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

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Tensors and Dynamic neural networks in Python with strong GPU acceleration

Alternative to Tensorflow, Jax, Caffe +2 more

Best for: ML researchers and engineers building custom neural network architectures with GPU training needs

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Caffe: a fast open framework for deep learning.

Alternative to Tensorflow, Pytorch, Keras +2 more

Best for: Teams building production computer vision systems who prioritize inference speed and have existing Caffe expertise

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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）

Alternative to Tensorflow, Pytorch, Caffe +1 more

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

Community

Minimalist ML framework for Rust

Alternative to Pytorch, Tensorflow, Jax +2 more

Best for: Rust developers building production ML systems where safety and performance matter more than rapid prototyping

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

Alternative to Tensorflow, Pytorch, Jax +2 more

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