saradeuJP's Stars
PredictiveIntelligenceLab/jaxpi
median-research-group/LibMTL
A PyTorch Library for Multi-Task Learning
wentaoyuan/pcn
Code for PCN: Point Completion Network in 3DV'18 (Oral)
hzxie/GRNet
The official implementation of "GRNet: Gridding Residual Network for Dense Point Cloud Completion". (Xie et al., ECCV 2020)
yuxumin/PoinTr
[ICCV 2021 Oral] PoinTr: Diverse Point Cloud Completion with Geometry-Aware Transformers
lululxvi/hpinn
hPINN: Physics-informed neural networks with hard constraints
MaciejPMarciniak/curvature
Tools for calculating the curvature of a line, surface and 3D mesh
jocpae/clDice
czq142857/DECOR-GAN
PyTorch 1.5 implementation for paper DECOR-GAN: 3D Shape Detailization by Conditional Refinement.
isds-neu/PhyCRNet
Physics-informed convolutional-recurrent neural networks for solving spatiotemporal PDEs
Fragjacker/Pointcloud-grad-CAM
mdeff/cnn_graph
Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering
pentilm/Hybrid-PINN
lu-group/gpinn
gPINN: Gradient-enhanced physics-informed neural networks
charlesq34/pointnet
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
jibikbam/CNN-3D-images-Tensorflow
3D image classification using CNN (Convolutional Neural Network)
ohirose/bcpd
Bayesian Coherent Point Drift (BCPD/BCPD++/GBCPD/GBCPD++)
lululxvi/tutorials
Tutorials on deep learning, Python, and dissipative particle dynamics
lululxvi/deepxde
A library for scientific machine learning and physics-informed learning
dynamicslab/pysindy
A package for the sparse identification of nonlinear dynamical systems from data
XiaoshuiHuang/fmr
This repository is the implementation of our CVPR 2020 work: "Feature-metric Registration: A Fast Semi-supervised Approach for Robust Point Cloud Registration without Correspondences"
wsunid/awesome-point-clouds-registration
A list of papers about point clouds registration
intra3d2019/IntrA
IntrA: 3D Intracranial Aneurysm Dataset for Deep Learning
wolny/pytorch-3dunet
3D U-Net model for volumetric semantic segmentation written in pytorch
JunMa11/SOTA-MedSeg
SOTA medical image segmentation methods based on various challenges
deepwise-code/DLIA
sciann/sciann-applications
A place to share problems solved with SciANN
thunil/Physics-Based-Deep-Learning
Links to works on deep learning algorithms for physics problems, TUM-I15 and beyond
ybyangpku/UQPINNs
SciML/NeuralPDE.jl
Physics-Informed Neural Networks (PINN) Solvers of (Partial) Differential Equations for Scientific Machine Learning (SciML) accelerated simulation