lihanghang/Deep-learning-And-Paper
【仅作为交流学习使用】机器智能--相关书目及经典论文包括AutoML、情感分类、语音识别、声纹识别、语音合成实验代码等
This resource provides a curated collection of materials for anyone interested in applying artificial intelligence. It brings together academic papers, open-source tools, and commercial platforms related to Automated Machine Learning (AutoML), natural language processing, and speech recognition. The user will find structured information on various AI techniques and their practical applications.
No commits in the last 6 months.
Use this if you are an AI practitioner, researcher, or student looking for a consolidated reference of key concepts, tools, and papers in machine intelligence, especially in AutoML or speech processing.
Not ideal if you are looking for ready-to-use software or a step-by-step tutorial for a specific project rather than a collection of resources.
Stars
90
Forks
40
Language
Jupyter Notebook
License
—
Category
Last pushed
Nov 20, 2019
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/lihanghang/Deep-learning-And-Paper"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
csinva/csinva.github.io
Slides, paper notes, class notes, blog posts, and research on ML 📉, statistics 📊, and AI 🤖.
ml-tooling/best-of-jupyter
🏆 A ranked list of awesome Jupyter Notebook, Hub and Lab projects (extensions, kernels, tools)....
louisfb01/start-machine-learning
A complete guide to start and improve in machine learning (ML), artificial intelligence (AI) in...
leehanchung/awesome-full-stack-machine-learning-courses
Curated list of publicly accessible machine learning engineering courses from CalTech, Columbia,...
harleyszhang/cv_note
记录cv算法工程师的成长之路，分享计算机视觉和模型压缩部署技术栈笔记。https://harleyszhang.github.io/cv_note/