Synthetic data generation for end-to-end TIR tracking (TIP2018)
TensorFlow 2.x version's Tutorials and Examples, including CNN, RNN, GAN, Auto-Encoders, FasterRCNN, GPT, BERT examples, etc. TF 2.0版入门实例代码，实战教程。
深度学习开源书，基于TensorFlow 2.0实战。Open source Deep Learning book, based on TensorFlow 2.0 framework.
Progressive Image Deraining Networks: A Better and Simpler Baseline (CVPR 2019)
Training deep learning based denoisers without ground truth data - Official Tensorflow implementation of the NeurIPS 2018 paper
This package contains the code to run Learned D-AMP, D-AMP, D-VAMP, D-prGAMP, and DnCNN algorithms. It also includes code to train Learned D-AMP, DnCNN, and Deep Image Prior U-net using the SURE loss.
