Yabo Chen's starred repositories
google-research
Google Research
tensor2tensor
Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.
deep-high-resolution-net.pytorch
The project is an official implementation of our CVPR2019 paper "Deep High-Resolution Representation Learning for Human Pose Estimation"
data-augmentation-review
List of useful data augmentation resources. You will find here some not common techniques, libraries, links to GitHub repos, papers, and others.
lambda-networks
Implementation of LambdaNetworks, a new approach to image recognition that reaches SOTA with less compute
pyalgotrade-cn
pyalgotrade tailored for Chinese stock market
I2L-MeshNet_RELEASE
Official PyTorch implementation of "I2L-MeshNet: Image-to-Lixel Prediction Network for Accurate 3D Human Pose and Mesh Estimation from a Single RGB Image", ECCV 2020
Pose2Mesh_RELEASE
Official Pytorch implementation of "Pose2Mesh: Graph Convolutional Network for 3D Human Pose and Mesh Recovery from a 2D Human Pose", ECCV 2020
MonocularTotalCapture
Code for CVPR19 paper "Monocular Total Capture: Posing Face, Body and Hands in the Wild"
hand-graph-cnn
3D Hand Shape and Pose Estimation from a Single RGB Image
softmax-splatting
an implementation of softmax splatting for differentiable forward warping using PyTorch
epipolar-transformers
Epipolar Transformers (best paper award, CVPR 2020 workshop)
TDAN-VSR-CVPR-2020
TDAN: Temporally-Deformable Alignment Network for Video Super-Resolution, CVPR 2020
stock-prediction
Stock price prediction with recurrent neural network. The data is from the Chinese stock.
Improved-Body-Parts
Simple Pose: Rethinking and Improving a Bottom-up Approach for Multi-Person Pose Estimation
3DHandShapePosefromRGB
3D Hand Shape and Pose Estimation from a Single RGB Image
chinese-stock-api
Python API to get stock data in Chinese market
chinese-stock-Financial-Index
计算**A股所有股票的3年平均财务指标
fusenet-hand-pose
Implementation of E. Kazakos, C. Nikou, I. A. Kakadiaris. On the Fusion of RGB and Depth Information for Hand Pose Estimation, ICIP, 2018.
fingerprint_liveness
Compares several different machine learning models and statistical features to predict the liveness of the fingerprint biometric.