Deep Learning

Deep learning method for rapid detection of massive black hole binary coalescences in LISA data, achieving high sensitivity with no false alarms while processing 1-year data in seconds.

转载自：https://wjn1996.blog.csdn.net/article/details/120607050

这是关于 DeepLearning.ai 联合 OpenAI 推出《面向开发者的 ChatGPT 提示工程》教程相关的资料整理，讲师为 DeepLearning 创始人吴恩达以及 OpenAI 开发者 Isa Fulford。 视频字幕文件已开源至 [GitHub](https://github.com/GitHubDaily/ChatGPT-Prompt-Enginee)，这个帖子几乎完全参考了 Datawhale 的 [GitHub](https://github.com/datawhalechina/prompt-engineering-for-developers) 上的整理，以方便我个人学习和资料查找。

The first annual IAIFI PhD Summer School will be held at Tufts University August 1—August 5, 2022, followed by the IAIFI Summer Workshop August 8—August 9, 2022.

The paper describes a neural network architecture, based on **normalizing flows** alone, that is able to generate posteriors on the **full** $D = 15$ dimensional parameter space of quasi-circular binary inspirals, using input data surrounding the first observed GW event, **GW150914**, from multiple gravitational-wave detectors.

PyTorch 深度学习实战课程材料，原为万门大学录制（2021年），聚焦PyTorch框架，重实践、轻理论，适合具备基础Python知识的学习者。

此文是关于"[第十八届中国机器学习及其应用研讨会](http://www.lamda.nju.edu.cn/conf/MLA20/index.html)"上，[朱军](http://ml.cs.tsinghua.edu.cn/~jun/index.shtml)教授的「讲座笔记」。内容仅涉及我个人感兴趣的要点内容。

此文是关于"[第十八届中国机器学习及其应用研讨会](http://www.lamda.nju.edu.cn/conf/MLA20/index.html)"上，王立威教授的「讲座笔记」。内容仅涉及我个人感兴趣的要点内容。

A survey on gravitational waves researches using machine learning techniques. (a brand-new verion is on going...)

Title: Research on Data Analysis of Deep Learning in Gravitational Wave Detection.