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12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为PyTorch实现。
此项目是机器学习(Machine Learning)、深度学习(Deep Learning)、NLP面试中常考到的知识点和代码实现，也是作为一个算法工程师必会的理论基础知识。
links to conference publications in graph-based deep learning
PyTorch tutorials, examples and some books I found 【不定期更新】整理的PyTorch 最新版教程、例子和书籍
This repository tracks the spread of the novel coronavirus, also known as SARS-CoV-2. It is a contagious respiratory virus that first started in Wuhan in December 2019. On 2/11/2020, the disease is…