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:)

A curated, but probably biased and incomplete, list of awesome machine learning interpretability resources.

If you want to contribute to this list (and please do!) read over the contribution guidelines, send a pull request, or contact me @jpatrickhall.

Awesome-AutoML-Papers 是自动化机器学习论文、文章、教程、幻灯片和项目的精选列表。 为这个知识库加注星标，然后您就可以及时了解这个蓬勃发展的研究领域的最新进展。 感谢所有为这个项目做出贡献的人。 

What is AutoML?

Automated Machine Learning (AutoML) provides methods and processes to make Machine Learning available for non-Machine Learning experts, to improve efficiency of Machine Learning and to accelerate research on Machine Learning.

Survey

• Replay in Deep Learning: Current Approaches and Missing Biological Elements (Neural Computation 2021) [paper]
• Online Continual Learning in Image Classification: An Empirical Survey (Neurocomputing 2021) [paper] [code]

精选的自监督学习资源列表。 灵感来自 awesome-deep-vision、awesome-adversarial-machine-learning、awesome-deep-learning-papers 和 awesome-architecture-search

为什么要进行自我监督？

机器学习资源大全中文版

我想很多程序员应该记得 GitHub 上有一个 Awesome - XXX 系列的资源整理。awesome-machine-learning 就是 josephmisiti 发起维护的机器学习资源列表，内容包括了机器学习领域的框架、库以及软件（按编程语言排序）。

Awesome 系列虽然挺全，但基本只对收录的资源做了极为简要的介绍，如果有更详细的中文介绍，对相应开发者的帮助会更大。这也是我们发起这个开源项目的初衷。

与使用机器学习进行网络安全相关的令人惊叹的工具和资源的精选列表。

此存储库包含精选的开源库列表，可帮助您部署、监控、版本、扩展和保护您的生产机器学习

精选的机器学习框架、库和软件列表。

A curated list of awesome machine learning frameworks, libraries and software (by language). Inspired by awesome-php.

If you want to contribute to this list (please do), send me a pull request or contact me @josephmisiti. Also, a listed repository should be deprecated if: