Yin Huang's repositories
2DASL
The code (pytorch for testing & matlab for 3D plot and evaluation) for our project: Joint 3D Face Reconstruction and Dense Face Alignment from A Single Image with 2D-Assisted Self-Supervised Learning （2DASL）
3D-Machine-Learning
A resource repository for 3D machine learning
AI_Challenger_2018
AI Challenger, a platform for open datasets and programming competitions to artificial intelligence (AI) talents around the world. https://challenger.ai/
awesome-single-cell
List of software packages and data resources for single-cell, including RNA-seq, ATAC-seq, etc.
deeplearning-models
A collection of various deep learning architectures, models, and tips
dlcampjeju
Deep Learning Camp Jeju
face3d
Python tools for 3D face: 3DMM, Mesh processing(transform, camera, light, render), 3D face representations.
FaceCaptureX
Get iphone X face motion data then make animation in Houdini.
FaceFitting
Fits a 3D model to a 2D image of a face
faceID_beta
An implementation of iPhone X's FaceID using face embeddings and siamese networks on RGBD images.
fastai
The fast.ai deep learning library, lessons, and tutorials
Guides
Guides for learning + doing better web and app development. Created by Coding for Entrepreneurs.
kaggle
DueApe数据科学，Kaggle代码资源分享
neural_renderer
A PyTorch port of the Neural 3D Mesh Renderer
pandas-plink
PLINK reader for Python.
pointnet.pytorch
pytorch implementation for "PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation" https://arxiv.org/abs/1612.00593
pytorch-cnn-finetune
Fine-tune pretrained Convolutional Neural Networks with PyTorch
pytorch-CycleGAN-and-pix2pix
Image-to-image translation in PyTorch (e.g. horse2zebra, edges2cats, and more)
pytorch-prnet
pytorch implementation of PRNet, with weight transfered
the-gan-zoo
A list of all named GANs!
vid2vid
Pytorch implementation of our method for high-resolution (e.g. 2048x1024) photorealistic video-to-video translation.
vrn
:man: Code for "Large Pose 3D Face Reconstruction from a Single Image via Direct Volumetric CNN Regression"