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CDP-Tradeoff

On The Classification-Distortion-Perception Tradeoff (NeurIPS2019)

Language:Python400

pytorch_resnet_cifar10

Proper implementation of ResNet-s for CIFAR10/100 in pytorch that matches description of the original paper.

Language:PythonBSD-2-Clause117100

Kaggle_Dogs_vs_Cats_PyTorch

kaggle competition: Dogs_vs_Cats_PyTorch Presentation（Getting started with PyTorch）

Language:PythonMIT6700

tensorflow-deeplab-resnet

DeepLab-ResNet rebuilt in TensorFlow

Language:PythonMIT124600

deep-residual-networks

Deep Residual Learning for Image Recognition

MIT635800

tutorials

机器学习相关教程

Language:PythonMIT1149200

deep_gcns

Tensorflow Repo for "DeepGCNs: Can GCNs Go as Deep as CNNs?" ICCV2019 Oral https://www.deepgcns.org

Language:PythonMIT62700

SparseConvNet

Submanifold sparse convolutional networks

Language:C++NOASSERTION200200

pointnet.pytorch

pytorch implementation for "PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation" https://arxiv.org/abs/1612.00593

Language:PythonMIT205900

pointnet-autoencoder

Autoencoder for Point Clouds

Language:PythonNOASSERTION40300

pointnet2

PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space

Language:PythonNOASSERTION297600

pointnet

PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation

Language:PythonNOASSERTION461900

PointCNN

PointCNN: Convolution On X-Transformed Points (NeurIPS 2018)

Language:PythonNOASSERTION135900

second.pytorch

SECOND for KITTI/NuScenes object detection

Language:PythonMIT168900

draco

Draco is a library for compressing and decompressing 3D geometric meshes and point clouds. It is intended to improve the storage and transmission of 3D graphics.

Language:C++Apache-2.0632000

3d-Object-Detection

3d object detection papers

2300

pcc_geo_cnn

Learning Convolutional Transforms for Point Cloud Geometry Compression

Language:PythonMIT4700