ypwhs/dl-engineer-guidebook
深度学习工程师生存指南
This guidebook helps deep learning engineers set up their development environment and workflow. It provides detailed instructions and recommendations for hardware, operating systems like Windows, Linux, or macOS, and essential software configurations. Users will find advice on everything from building a deep learning workstation to configuring Python environments and using tools like TensorBoard. It's designed for anyone working as a deep learning engineer, machine learning engineer, or AI researcher who needs to efficiently set up and manage their development tools.
920 stars.
Use this if you are a deep learning engineer looking for a comprehensive guide to building, configuring, and maintaining your development environment and tools.
Not ideal if you are looking for advanced theoretical concepts in deep learning or specific guidance on model architecture and algorithm design.
Stars
920
Forks
104
Language
Python
License
—
Category
Last pushed
Dec 24, 2025
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/ypwhs/dl-engineer-guidebook"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
PaddlePaddle/Paddle
PArallel Distributed Deep LEarning: Machine Learning Framework from Industrial Practice...
fastai/fastai
The fastai deep learning library
openvinotoolkit/openvino_notebooks
📚 Jupyter notebook tutorials for OpenVINO™
PaddlePaddle/docs
Documentations for PaddlePaddle
msuzen/bristol
Parallel random matrix tools and complexity for deep learning