Deep Learning

IAIFI Summer School & Workshop

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.

[Paper Summary] Complete Parameter Inference for GW150914 Using Deep Learning

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 Deep Learning Course Materials

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。

贝叶斯深度学习前沿进展 (朱军教授)

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。

深度学习: 从理论到算法 (王力威教授)

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。

Survey4GWML

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

My Dissertation [zh-CN]

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

CS231n Resources

Collection & learning notes on CS231n course.

Ray Tutorial

Ray is a flexible, high-performance distributed execution framework.

关于感受野 (Receptive field) 你该知道的事

Receptive field 可中译为“感受野”,是卷积神经网络中非常重要的概念之一。