1. Introductory resources for machine learning and deep learning
new-pytorch actual combat
new deep learning actual combat
OperatingSystemInDepth-main
Peking University Self-study Guide
Computer Network
Watermelon Book
(NEW) Machine Learning Actual Combat: Based on Scikit-
Learn The fourth edition, pd
215 neural network papers mind map xmind
657584 Python Data Science Handbook.pdf
BAT Frost God Leetcode Brush Question Notes.pdf
d21-zh-pytorch.pdf
Primer c++.pdf
Aliyun Tianchi Competition Question Analysis Machine Learning Article
Google Google Gaochang Leetcode Brush Questions Notes.pdf
Han Dingping 2021 Graphical Linux Comprehensive Upgrade.pdf
Machine Learning Practice 13329088.pdf
Jianzhi Offer Famous Enterprise Interviewers Intensively Lecture Typical Programming Questions
Liuchang’s Python.pdf
Shangsihe Technology Course Series GtV2.0.pdf
Deep Learning [deep learning] Flower Book
Neural Network and Deep Learning-3 Hours.pdf
Neural Network Chromium and Deep Learning-3 Hours ppt
Statistical Learning Method 2nd Edition
Baidu Cloud Disk: Link: https://pan .baidu.com/s/1E_dVglj7Yi5WQYys952Rxg
Extraction code: yx1n
2. stable-diffusion resource
map package (link dynamic update)
link: https://pan.baidu.com/s/1BzGr4jHzB2cKDGnKtY7sTQ
extraction code: 3p75
Deforum plug-in parameters and video
link: https://pan.baidu.com/s/1bIWelmFEU9WCZ2Q1QsgphQ
Extraction code: i7tl
resource download
The links to the installation package (including five large models) are all CSDN to prevent the page from getting stuck. Read
my article for details: stable diffusion Xiaobai's most complete and detailed tutorial
2.0 Model and Plugin Recommendations
Interpretation of stablediffusion principle
https://pan.baidu.com/s/1r8nv5CbYRI4p6QSue5zeoA Extraction code: lj33
LORA model resources (including prompt words and sample pictures)
various styles of LORA, 278G
Link: https://pan.baidu.com/s/1zxMJ6M_a1ySuiSCS3_NEMA
Extraction code: f5jc
If there is a problem with the installation, please leave a message in the comment area, CSDN blog, Zhihu will do. I only share resources, and I will answer any questions I see.
I don’t know how to build any groups, take resources, as long as I have them, I will make them public. I just hope that if my article is useful to you, you can like it and comment a few words, thank you very much! ! !
Model website
liblibai: a website built for domestic partners who are inconvenient to download (imitates station C)
Domestic: https://www.liblibai.com
Domestic: webui model resources: https://www.123114514.xyz/models/ckpt
xtimesai
https://www.xtimesai.com/
Station C
Overseas: https://civitai.com/
Overseas: https://huggingface.co/models
AI Drawing Guide
https://aiguidebook.top/index.php/
https://aiguidebook.top/index.php/
AI Painting Model Museum
https://aimodel.subrecovery.top/
Spell analysis (recognition model category)
https://spell.novelai.dev/