Charl-AI/Deep-Learning-Devcontainers
Example devcontainer for deep learning projects.
This project helps deep learning developers quickly set up a consistent and isolated development environment for their deep learning projects. It takes a project's `requirements.txt` file and outputs a ready-to-use Docker container with all necessary deep learning libraries, CUDA, and Python pre-configured. Developers working with GPU-accelerated machine learning models will find this useful for managing project dependencies.
No commits in the last 6 months.
Use this if you are a deep learning developer who wants to easily create reproducible and isolated development environments with GPU support for your Python projects.
Not ideal if you are not a developer or if your projects do not involve deep learning, GPUs, or Python.
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Dockerfile
License
MIT
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Last pushed
May 12, 2022
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