Captain1986/CaptainBlackboard
船长关于机器学习、计算机视觉和工程技术的总结和分享
This collection offers detailed notes and summaries on key concepts in machine learning, computer vision, and engineering. It provides insights into various algorithms, model optimization techniques, and practical solutions encountered in real-world development. This is for machine learning engineers, computer vision specialists, and data scientists looking to deepen their understanding or find solutions to specific technical challenges.
1,258 stars. No commits in the last 6 months.
Use this if you are a machine learning practitioner seeking to understand complex algorithms, optimize models, or troubleshoot technical issues in computer vision and data mining.
Not ideal if you are looking for ready-to-use code implementations or a high-level overview without technical depth.
Stars
1,258
Forks
199
Language
C++
License
MIT
Category
Last pushed
Apr 28, 2023
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/Captain1986/CaptainBlackboard"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
harvard-edge/cs249r_book
Machine Learning Systems
datawhalechina/key-book
《机器学习理论导引》（宝箱书）的证明、案例、概念补充与参考文献讲解。
wx-chevalier/AI-Notes
:books: [.md & .ipynb] Series of Artificial Intelligence & Deep Learning, including Mathematics...
Ceyron/machine-learning-and-simulation
All the handwritten notes 📝 and source code files 🖥️ used in my YouTube Videos on Machine...
rickiepark/handson-ml3
<핸즈온 머신러닝 3판>의 주피터 노트북 저장소