#63 · Primary category: Deep Learning Frameworks

oneflow

cuda deep-learning deep-neural-networks distributed machine-learning ml neural-network

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

Project last updated:12/04/25

GitHub Stars

9.4K

Forks

1.0K

Contributors

173

License

Apache-2.0

Why we included this project

Distributed training is where OneFlow makes its case. Its Global Tensor abstraction lets you annotate how data and parameters are split across devices, then scale to n-dimensional parallel execution without hand-rolled distributed code. The API stays close to PyTorch, which shortens the learning curve for anyone coming from that ecosystem. A built-in graph compiler also covers inference and deployment, so the framework carries you from training to shipping. If you're evaluating deep learning frameworks and scaling across multiple GPUs or nodes is the priority, OneFlow is worth a closer look.

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