artyom-beilis/dlprimitives

Deep Learning Primitives and Mini-Framework for OpenCL

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Emerging

This project offers an open-source solution for deep learning practitioners who need to train or run machine learning models on a wider range of graphics cards than typically supported by proprietary NVIDIA tools. It takes your deep learning models, often created in frameworks like PyTorch or TensorFlow, and allows them to utilize various AMD, Intel, and Apple GPUs, producing efficient deep learning operations and model inference. This is for machine learning engineers and researchers who are constrained by hardware vendor lock-in.

208 stars. No commits in the last 6 months.

Use this if you are developing or deploying deep learning models and need to ensure they run efficiently across diverse GPU hardware from different manufacturers, not just NVIDIA.

Not ideal if you exclusively use NVIDIA GPUs and are already satisfied with the performance and features of CUDA/cuDNN.

deep-learning-inference GPU-acceleration machine-learning-operations cross-platform-ML neural-network-training

Stale 6m No Package No Dependents

Maintenance 0 / 25

Adoption 10 / 25

Maturity 16 / 25

Community 16 / 25

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Stars

208

Forks

Language

C++

License

MIT

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