A robust LiDAR Odometry and Mapping (LOAM) package for Livox-LiDAR

This project reproduces the book Dive Into Deep Learning (www.d2l.ai), adapting the code from MXNet into PyTorch.

Pretrained ConvNets for pytorch: NASNet, ResNeXt, ResNet, InceptionV4, InceptionResnetV2, Xception, DPN, etc.

Prepare for phd

Code for reproducing results in "Glow: Generative Flow with Invertible 1x1 Convolutions"