Tverous/pytorch-notebook
Docker image with Jupyter, Pytorch and CUDA GPUs supports.
This project provides a ready-to-use computational environment for machine learning tasks. It takes your existing machine learning code or data as input and provides an interactive notebook interface where you can develop, run, and experiment with PyTorch models. This is ideal for data scientists, machine learning engineers, or researchers who need to quickly set up a deep learning workspace.
109 stars.
Use this if you want to rapidly spin up a deep learning environment with Jupyter Notebook and PyTorch, especially if you need GPU acceleration, without the hassle of manual software installation and configuration.
Not ideal if you prefer a different deep learning framework than PyTorch or need a minimal environment without Jupyter Notebook.
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Last pushed
Mar 05, 2026
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