Guen-a Park's starred repositories
machine-learning-articles
š§ š¬ Articles I wrote about machine learning, archived from MachineCurve.com.
Awesome-Meta-Learning
A curated list of Meta Learning papers, code, books, blogs, videos, datasets and other resources.
Azure-Kinect-Sensor-SDK
A cross platform (Linux and Windows) user mode SDK to read data from your Azure Kinect device.
Hands-On-Meta-Learning-With-Python
Learning to Learn using One-Shot Learning, MAML, Reptile, Meta-SGD and more with Tensorflow
MotionBERT
[ICCV 2023] PyTorch Implementation of "MotionBERT: A Unified Perspective on Learning Human Motion Representations"
3DMPPE_POSENET_RELEASE
Official PyTorch implementation of "Camera Distance-aware Top-down Approach for 3D Multi-person Pose Estimation from a Single RGB Image", ICCV 2019
sort-google-scholar
Sorting Google Scholar search results based on the number of citations
awesome-biomechanics
A curated, public list of resources for biomechanics and human motion analysis: datasets, processing tools, software for simulation, educational videos, lectures, etc.
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
nuitrack-sdk
Nuitrackā¢ is a 3D tracking middleware developed by 3DiVi Inc.
Neural-Process-Family
Code for the Neural Processes website and replication of 4 papers on NPs. Pytorch implementation.
CameraCalibTools
List of Camera Calibration Tools + Patterns
MotionAGFormer
Official implementation of the paper "MotionAGFormer: Enhancing 3D Pose Estimation with a Transformer-GCNFormer Network" (WACV 2024).
torch-rgcn
A PyTorch implementation of the Relational Graph Convolutional Network (RGCN).
awesome-human-pose-prediction
A selection of State Of The Art research papers (and code) on human locomotion (pose + trajectory) prediction (forecasting)
VT-Natural-Motion-Processing
This repository was written to help analyze the Virginia Tech Natural Motion Dataset. The dataset contains 40 hours of unscripted human motion collected in the open world using XSens MVN Link. The dataset, metadata and more information is available through the Virginia Tech University Libraries: https://data.lib.vt.edu/articles/dataset/Virginia_Tech_Natural_Motion_Dataset/14114054/2.
vidimu-tools
VIDIMU-TOOLS is a code repository related to the public dataset "VIDIMU. multimodal video and IMU kinematic dataset on daily life activities using affordable devices."