机器学习

A curated list of federated learning publications, re-organized from Arxiv (mostly).

Last Update: July, 20th, 2021.

If your publication is not included here, please email to chaoyanghe.com@gmail.com

A curated list of Meta Learning papers, code, books, blogs, videos, datasets and other resources.

A curated list of awesome, free machine learning and artificial intelligence courses with video lectures. All courses are available as high-quality video lectures by some of the best AI researchers and teachers on this planet.

Besides the video lectures, I linked course websites with lecture notes, additional readings and assignments.

A curated list of awesome neural radiance fields papers, inspired by awesome-computer-vision.

Table of contents

• DL4M summary
• DL4M details
• Code without articles
• Statistics and visualisations

A curated list of awesome Matlab frameworks, libraries and software.

什么是异常检测？

异常检测是一种用于识别不符合预期行为的异常模式的技术，称为异常值。 通常，这被视为一个无监督学习问题，其中异常样本是先验未知的，并且假设训练数据集的大部分由“正常”数据组成（这里和其他地方的术语“正常”表示不异常并且是 与高斯分布无关）。 [Lukas Ruff et al., 2018; Deep One-Class Classification]

By Paul Liang (pliang@cs.cmu.edu), Machine Learning Department and Language Technologies Institute, CMU, with help from members of the MultiComp Lab at LTI, CMU.

A curated list of awesome quantum machine learning algorithms,study materials,libraries and software (by language).