twinsant/ML
深度学习练习本
This project offers a structured learning path for individuals aiming to master AI, especially in the emerging field of spatial intelligence and 3D world generation. It guides you from foundational AI concepts to advanced applications like creating neural networks that learn from camera feeds on a phone. The goal is to enable practitioners to build intelligent systems that understand and generate 3D environments, moving beyond current 2D AI limitations.
132 stars.
Use this if you are an AI researcher, developer, or enthusiast looking to deeply understand and build sophisticated AI systems, particularly those focused on spatial intelligence and 3D content creation.
Not ideal if you are looking for a plug-and-play solution for existing AI tasks or if you prefer to use pre-built models without diving into the underlying theory and implementation details.
Stars
132
Forks
10
Language
Jupyter Notebook
License
—
Category
Last pushed
Mar 07, 2026
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/twinsant/ML"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
haifengl/smile
Statistical Machine Intelligence & Learning Engine
NishkarshRaj/100DaysofMLCode
My journey to learn and grow in the domain of Machine Learning and Artificial Intelligence by...
charliedream1/ai_wiki
《AI全栈-全网优秀资源搜集站》：搜集全网优秀资源，记载工程实践问题的解决策略与关键要点，分享各种实用案例，追踪前沿技术发展，囊括 AI...
datawhalechina/leedl-tutorial
《李宏毅深度学习教程》（李宏毅老师推荐👍，苹果书🍎），PDF下载地址：https://github.com/datawhalechina/leedl-tutorial/releases
Moataz-Elmesmary/Data-Science-Roadmap
Data Science Roadmap from A to Z