pytorch handbook是一本开源的书籍,目标是帮助那些希望和使用PyTorch进行深度学习开发和研究的朋友快速入门,其中包含的Pytorch教程全部通过测试保证可以成功运行
深度学习入门开源书,基于TensorFlow 2.0案例实战。Open source Deep Learning book, based on TensorFlow 2.0 framework.
Implementation of 'Image Super-Resolution using Deep Convolutional Network'
The project is an official implement of our CVPR2018 paper "Deep Back-Projection Networks for Super-Resolution" (Winner of NTIRE2018 and PIRM2018)
cloud dataset from CCSN Zhang, J. L., Liu, P., Zhang, F., & Song, Q. Q. (2018). CloudNet: Ground-based Cloud Classification with Deep Convolutional Neural Network. Geophysical Research Letters, 45. https://doi.org/10.1029/2018GL077787
PyTorch version of the paper 'Enhanced Deep Residual Networks for Single Image Super-Resolution' (CVPRW 2017)
CNN+BiLSTM+Attention Multivariate Time Series Prediction implemented by Keras
Example code that calculates the Hybrid Precipitation Index described in Chelton and Risien, 2020.