xbb2017's Stars
sindresorhus/awesome
😎 Awesome lists about all kinds of interesting topics
apachecn/ailearning
AiLearning:数据分析+机器学习实战+线性代数+PyTorch+NLTK+TF2
lib-pku/libpku
贵校课程资料民间整理
pyg-team/pytorch_geometric
Graph Neural Network Library for PyTorch
benedekrozemberczki/awesome-graph-classification
A collection of important graph embedding, classification and representation learning papers with implementations.
r0f1/datascience
Curated list of Python resources for data science.
chrieke/awesome-satellite-imagery-datasets
🛰️ List of satellite image training datasets with annotations for computer vision and deep learning
PetarV-/GAT
Graph Attention Networks (https://arxiv.org/abs/1710.10903)
zhoushengisnoob/DeepClustering
Methods and Implements of Deep Clustering
tensorflow/graphics
TensorFlow Graphics: Differentiable Graphics Layers for TensorFlow
lucasb-eyer/pydensecrf
Python wrapper to Philipp Krähenbühl's dense (fully connected) CRFs with gaussian edge potentials.
yangyanli/PointCNN
PointCNN: Convolution On X-Transformed Points (NeurIPS 2018)
loicland/superpoint_graph
Large-scale Point Cloud Semantic Segmentation with Superpoint Graphs
mmolero/awesome-point-cloud-processing
A curated list of awesome Point Cloud Processing Resources, Libraries, Software
MVIG-SJTU/pointSIFT
a module for 3D semantic segmentation in point clouds.
clcarwin/convert_torch_to_pytorch
Convert torch t7 model to pytorch model and source.
isl-org/Open3D-PointNet2-Semantic3D
Semantic3D segmentation with Open3D and PointNet++
griegler/octnet
OctNet: Learning Deep 3D Representations at High Resolutions
WXinlong/ASIS
Associatively Segmenting Instances and Semantics in Point Clouds, CVPR 2019
maggie0106/Graph-CNN-in-3D-Point-Cloud-Classification
Code for A GRAPH-CNN FOR 3D POINT CLOUD CLASSIFICATION (ICASSP 2018)
maozezhong/focal_loss_multi_class
mutil-class focal loss implemented in keras
deepmedic/dense3dCrf
Fully-connected (dense) 3D CRF for processing biomedical scans
davidBelanger/SPEN
Structured Prediction Energy Networks in Torch
clementfarabet/ipam-tutorials
IPAM Tutorials on Theano/Torch
tatarchm/tangent_conv
Tangent Convolutions for Dense Prediction in 3D
cgtuebingen/Flex-Convolution
Source code for: Flex-Convolution (Million-Scale Point-Cloud Learning Beyond Grid-Worlds), accepted at ACCV 2018
mbickel/DenseInferenceWrapper
A python wrapper for Krähenbühls dense CRF for medical image volumes.
clementfarabet/gm
GM package (for tutorial compat)
liuyuan-pal/PCSNet
a deep learning framework for point cloud segmentation
mvaz/talk-point-clouds-to-graphs