mulkkyul Goto Github PK

airsim-drone-racing-vae-imitation

Code associated with our paper "Learning Visuomotor Policies for Aerial Navigation Using Cross-Modal Representations": https://arxiv.org/abs/1909.06993

alphapose

Real-Time and Accurate Multi-Person Pose Estimation&Tracking System

awesome-human-pose-estimation

A collection of awesome resources in Human Pose estimation.

bandai-namco-research-motiondataset

This repository provides motion datasets collected by Bandai Namco Research Inc

boontu

finding similar stocks using (kinda) dimensionality reduction

boontu-1

cpc_activeinference2018

Tutorial material on active Bayesian inference from the Computational Psychiatry Conference in Zurich 2018

financedatareader

Financial data reader

fit-rec

Code for WWW 19' paper

gait-recognition

Atchitectures of deep neural network for gait recognition and human pose estimation with pre-trained models

hmr

Project page for End-to-end Recovery of Human Shape and Pose

kinect-openni-bvh-saver

This project is based on OpenNI2, NITE2, and OpenCV2, it will automatically save many skeleton animation clips to bvh files.

kspo-interactive

lstm-initstates

The PyTorch implementation of "Modeling Financial Time Series using LSTM with Trainable Initial Hidden States"

marcap

market cap datasets (1995~2019 daily, 10 million+ rows)

mass

mobile-gaitlab

mocapnet

We present MocapNET, an ensemble of SNN encoders that estimates the 3D human body pose based on 2D joint estimations extracted from monocular RGB images. MocapNET provides BVH file output which can be rendered in real-time or imported without any additional processing in most popular 3D animation software. The proposed architecture achieves 3D human pose estimations at state of the art rates of 400Hz using only CPU processing.

motion_reconstruction

Motion Reconstruction Code and Data for Skills from Videos (SFV)

mulkkyul.github.io

p-vmdnn_tensorflow

Tensorflow implementation of P-VMDNN

pythondatasciencehandbook

Python Data Science Handbook: full text in Jupyter Notebooks

st-gcn

Spatial Temporal Graph Convolutional Networks (ST-GCN) for Skeleton-Based Action Recognition in PyTorch

tastyjeju

variational-autoencoder

Variational autoencoder implemented in tensorflow and pytorch (including inverse autoregressive flow)

video-to-pose3d

Convert video to 3D pose in one-key.

video2opensim-keras_realtime_multi-person_pose_estimation

Keras version of Realtime Multi-Person Pose Estimation project

video_to_bvh

Convert human motion from video to .bvh

videoto3dposeandbvh

Convert video to the bvh motion file

viper

Open-source code for VIPER -- Volume Invariant Position-based Elastic Rods