Pinned Repositories
3D-GAN-pytorch
Responsible implementation of 3D-GAN NIPS 2016 paper:Learning a Probabilistic Latent Space of ObjectShapes via 3D Generative-Adversarial Modeling,that can be found https://papers.nips.cc/paper/6096-learning-a-probabilistic-latent-space-of-object-shapes-via-3d-generative-adversarial-modeling.pdf
ANTsPy
Advanced Normalization Tools in Python
cnn_graph
Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering
Conformal_Mapping
Conformal mapping of a given 3D mesh onto a sphere using tuette energy minimization and harmonic energy minimization
Cranial_analysis
Datacamp-Project-Solutions-R
Datacamp Portfolio Project Solutions-R Programming
Deep-MVLM
A tool for precisely placing 3D landmarks on 3D facial scans based on the paper "Multi-view Consensus CNN for 3D Facial Landmark Placement"
gitdemo
测试学习github
graph-neural-network-course
Free hands-on course about Graph Neural Networks using PyTorch Geometric.
neode
Neo4j OGM for Node.js
Exitcode-01's Repositories
Exitcode-01/3D-GAN-pytorch
Responsible implementation of 3D-GAN NIPS 2016 paper:Learning a Probabilistic Latent Space of ObjectShapes via 3D Generative-Adversarial Modeling,that can be found https://papers.nips.cc/paper/6096-learning-a-probabilistic-latent-space-of-object-shapes-via-3d-generative-adversarial-modeling.pdf
Exitcode-01/neode
Neo4j OGM for Node.js
Exitcode-01/ANTsPy
Advanced Normalization Tools in Python
Exitcode-01/cnn_graph
Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering
Exitcode-01/Conformal_Mapping
Conformal mapping of a given 3D mesh onto a sphere using tuette energy minimization and harmonic energy minimization
Exitcode-01/Cranial_analysis
Exitcode-01/Datacamp-Project-Solutions-R
Datacamp Portfolio Project Solutions-R Programming
Exitcode-01/Deep-MVLM
A tool for precisely placing 3D landmarks on 3D facial scans based on the paper "Multi-view Consensus CNN for 3D Facial Landmark Placement"
Exitcode-01/gitdemo
测试学习github
Exitcode-01/graph-neural-network-course
Free hands-on course about Graph Neural Networks using PyTorch Geometric.
Exitcode-01/Laplacian-Pyramids
Image blending by using Gaussian and Laplacian pyramids
Exitcode-01/light-field-distance
Program basing on https://github.com/Sunwinds/ShapeDescriptor that calculates distance for Wavefront OBJ objets.
Exitcode-01/normativeCranialGrowth
Exitcode-01/pyacvd
Python implementation of surface mesh resampling algorithm ACVD
Exitcode-01/Python
All Algorithms implemented in Python
Exitcode-01/shape-google
Statistics for classifying shapes.
Exitcode-01/shape_descriptors
Code for our MIDL 2021 submission
Exitcode-01/super-gradients
Easily train or fine-tune SOTA computer vision models with one open source training library. The home of Yolo-NAS.
Exitcode-01/torch-harmonics
Differentiable Spherical Harmonic transforms in PyTorch
Exitcode-01/tracking-python3
In this repository I will give some implementation of single and multiple object tracking algorithms. These include meanShift, CamShift, Boosting, MIL, KCF, TLD , GoTurn, and MedianFlow. Additionally I will show you how to grab frames at a very high FPS from camera and videos.
Exitcode-01/unet
unet for image segmentation
Exitcode-01/view-GCN
Pytorch code for view-GCN (CVPR2020)