机器学习

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).

Also called network representation learning, graph embedding, knowledge embedding, etc.

The task is to learn the representations of the vertices from a given network.

CALL FOR HELP: I'm planning to re-organize the papers with clear classification index in the near future. Please feel free to submit a commit if you find any interesting related work:)