Deep learning for particle physicists
APACHE-2.0 License
Statistics for this project are still being loaded, please check back later.
Course notes for the machine learning workshop
Course material for STAT 479: Deep Learning (SS 2019) at University Wisconsin-Madison
Practical tutorials and labs for TensorFlow used by Nvidia, FFN, CNN, RNN, Kaggle, AE
Deep Learning course materials (HSE, Faculty of Computer Science)
STAT 453: Intro to Deep Learning @ UW-Madison (Spring 2020)
Momentum AI course in machine learning
"Deep Learning in Natural Language Processing" - a course by DeepPavlov built on top of Stanford'...
Teaching materials for the machine learning and deep learning classes at Stanford and Cornell
Practical machine learning for physicists
NYU Deep Learning Spring 2020
Welcome to the Physics-based Deep Learning Book (v0.2)
本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为TensorFlow 2.0实现,项目已得到李沐老师的认可
Material for my Caltech tutorial on deep learning and tensor methods
Deep learning online course from Andrew Ng.
Short hands-on introduction to ML for physicists