wpyemperor's repositories
3D-Neural-Network-Adversarial-Attacks
Research on adversarial attacks and defenses for deep neural network 3D point cloud classifiers like PointNet and PointNet++.
Adversarial-point-perturbations-on-3D-objects
New distributional and shape attacks on neural networks that process 3D point cloud data.
anytree
Python tree data library
BPNetwork
Moyan's BPNetwork
dilation-tensorflow
A native Tensorflow implementation of semantic segmentation according to Multi-Scale Context Aggregation by Dilated Convolutions (2016). Optionally uses the pretrained weights by the authors.
DUP-Net
DUP-Net: Denoiser and Upsampler Network for 3D Adversarial Point Clouds Defense
espnet
End-to-End Speech Processing Toolkit
models
Models and examples built with TensorFlow
pointnet
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
scikit-learn
scikit-learn: machine learning in Python
WCT-based-style-transfer
This is a implementation of WCT based style transfer