ufoym/deepo
A Docker image generator and pre-built images for setting up deep learning environments with support for major ML frameworks and GPU acceleration.
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Deepo is an open framework for painlessly assembling specialized Docker images for deep learning research. It provides modular Lego-like components for customizing deep learning toolchains and automatically resolves dependencies between CUDA, cuDNN, Python, and frameworks like PyTorch and TensorFlow through topological sorting. The project includes pre-built images supporting widely used frameworks including Caffe, Caffe2, Chainer, Keras, MXNet, ONNX, PyTorch, Sonnet, TensorFlow, Theano, and Torch.
Frequently asked
- What is ufoym/deepo?
- A Docker image generator and pre-built images for setting up deep learning environments with support for major ML frameworks and GPU acceleration.
- Is deepo open source?
- Yes — ufoym/deepo is open source, released under the MIT license.
- What language is deepo written in?
- ufoym/deepo is primarily written in Python.
- How popular is deepo?
- ufoym/deepo has 6.3k stars on GitHub.
- Where can I find deepo?
- ufoym/deepo is on GitHub at https://github.com/ufoym/deepo.