dl-env-setup

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Automatically configure deep learning environments (Conda + PyTorch/TensorFlow/JAX + CUDA) for any research repo. Use this skill when the user wants to: set up a deep learning or ML training/inference environment, reproduce a paper's code or configure a research repo's runtime, install PyTorch (or TensorFlow/JAX) with GPU/CUDA support, troubleshoot PyTorch + CUDA environment issues, or create a conda/venv environment for any DL project. Do NOT trigger for: general Python project setup without DL frameworks, pure data science (pandas/sklearn) without GPU needs, or frontend/web/non-ML projects.

lsh33lxm By lsh33lxm schedule Updated 2/22/2026

Skill instructions (SKILL.md) could not be loaded from local cache or raw GitHub repository.

Install via CLI
npx skills add https://github.com/lsh33lxm/minnn-learning-notes --skill dl-env-setup
Repository Details
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