Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!

运维简洁实用手册

1D and 2D Segmentation Models with options such as Deep Supervision, Guided Attention, BiConvLSTM, Autoencoder, etc.

Keras implementations of Generative Adversarial Networks. GANs, DCGAN, CGAN, CCGAN, WGAN and LSGAN models with MNIST and CIFAR-10 datasets.

PFAST: A High Performance Software Package for Transmission and Reflection Seismic Traveltime Tomography