JayceNing/AI_study_notes
我的AI学习笔记。包括b站up主deep_thoughts的PyTorch课程笔记和相关代码；北邮深度学习与数字视频PPT代码。
This is a collection of study notes and code implementations for various deep learning models, primarily using PyTorch. It helps students and researchers understand complex AI algorithms by providing detailed explanations and practical code examples. The resource covers fundamental PyTorch concepts and advanced models like Transformers, Diffusion Models, and CNNs, making it suitable for those learning or implementing deep learning projects.
No commits in the last 6 months.
Use this if you are a student or researcher in AI and deep learning looking for detailed explanations and PyTorch code implementations of various models and foundational concepts.
Not ideal if you are looking for a high-level overview or an out-of-the-box solution without diving into the underlying code and theoretical details.
Stars
43
Forks
8
Language
Jupyter Notebook
License
—
Category
Last pushed
Jun 18, 2024
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/JayceNing/AI_study_notes"
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