MorvanZhou/PyTorch-Tutorial
Build your neural network easy and fast, 莫烦Python中文教学
This project helps Python developers learn to build and implement various neural network models using PyTorch. It provides code examples and tutorials, taking you from basic concepts to advanced architectures like CNNs and GANs. If you're a developer looking to understand and apply deep learning, this resource will guide you through the practical steps.
8,450 stars. No commits in the last 6 months.
Use this if you are a Python developer new to PyTorch and want to learn how to construct, train, and apply different neural network models.
Not ideal if you are looking for a high-level API to integrate pre-built models into an existing application without needing to understand their internal workings.
Stars
8,450
Forks
3,095
Language
Jupyter Notebook
License
MIT
Category
Last pushed
Mar 23, 2023
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/MorvanZhou/PyTorch-Tutorial"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Related frameworks
mrdbourke/pytorch-deep-learning
Materials for the Learn PyTorch for Deep Learning: Zero to Mastery course.
xl0/lovely-tensors
Tensors, for human consumption
stared/livelossplot
Live training loss plot in Jupyter Notebook for Keras, PyTorch and others
dataflowr/notebooks
code for deep learning courses
dvgodoy/PyTorchStepByStep
Official repository of my book: "Deep Learning with PyTorch Step-by-Step: A Beginner's Guide"