Dong W's repositories
AR-Depth-cpp
C++ implementation of Fast Depth Densification for Occlusion-aware Augmented Reality (SIGGRAPH-Asia 2018)
autoregressive-energy-machines
Autoregressive Energy Machines
AwesomePerfCpp
A curated list of awesome C/C++ performance optimization resources: talks, articles, books, libraries, tools, sites, blogs. Inspired by awesome.
benchmarking-keras-pytorch
Reproducible Benchmarking of Keras and PyTorch Models
CPP-Crash-Course
C++ Crash Course
CVPR2019-Code
CVPR 2019 Paper with Code
deeptam
DeepTAM: Deep Tracking and Mapping https://lmb.informatik.uni-freiburg.de/people/zhouh/deeptam/
differentiable-particle-filters
Source code and data for the paper "Differentiable Particle Filters: End-to-End Learning with Algorithmic Priors"
ebm_code_release
Code for Implicit Generation and Generalization with Energy Based Models
eht-imaging
Imaging, analysis, and simulation software for radio interferometry
FishNet
Implementation code of the paper: FishNet: A Versatile Backbone for Image, Region, and Pixel Level Prediction, NeurIPS 2018
flownet3d
FlowNet3D: Learning Scene Flow in 3D Point Clouds
GP-DIP
Code for A Bayesian Perspective on the Deep Image Prior (CVPR 2019)
inferno
A utility library around PyTorch
jupyter-ros
Jupyter widget helpers for ROS, the Robot Operating System
kaggle_salt_bes_phalanx
Kaggle Salt b.e.s. & phalanx
LightNet
LightNet: Light-weight Networks for Semantic Image Segmentation (Cityscapes and Mapillary Vistas Dataset)
MachineLearning
Machine learning resources
Make_Money_with_Tensorflow_2.0
This is the code for "Make Money with Tensorflow 2.0" by Siraj Raval
octconv-pytorch
Implementation of OctConv in Pytorch (https://arxiv.org/abs/1904.05049)
OdomLaserCalibraTool
Extrinsic Calibration of a Odom and 2d Laser
PointRCNN
The PyTorch Implementation of PointRCNN for 3D Object Detection from Raw Point Cloud, CVPR 2019.
programming_notebooks
A collection of programming notebooks that I've created.
training-data-analyst
Labs and demos for courses for GCP Training (http://cloud.google.com/training).
VGG-Speaker-Recognition
Utterance-level Aggregation For Speaker Recognition In The Wild
VI-Stereo-DSO
Direct sparse odometry combined with stereo cameras and IMU(updating)