ChelsieW

ChelsieW

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Company:ComfortDelGro

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ChelsieW's repositories

License:MITStargazers:0Issues:0Issues:0

grokking_algorithms

Code for the book Grokking Algorithms (https://amzn.to/29rVyHf)

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VIBE

Official implementation of CVPR2020 paper "VIBE: Video Inference for Human Body Pose and Shape Estimation"

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smplify-x

Expressive Body Capture: 3D Hands, Face, and Body from a Single Image

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Attention3DHumanPose

The project is an official implementation of our CVPR2020 paper "Attention Mechanism Exploits Temporal Contexts: Real-time 3D Human Pose Reconstruction"

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T-GCN

Temporal Graph Convolutional Network for Urban Traffic Flow Prediction Method

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Trajectron-plus-plus

Code accompanying "Trajectron++: Dynamically-Feasible Trajectory Forecasting With Heterogeneous Data" by Tim Salzmann*, Boris Ivanovic*, Punarjay Chakravarty, and Marco Pavone (* denotes equal contribution).

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CenterTrack

Simultaneous object detection and tracking using center points.

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Towards-Realtime-MOT

Joint Detection and Embedding for fast multi-object tracking

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Python-RVO2

Optimal Reciprocal Collision Avoidance, Python bindings

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multiagent

Using RLLib and PycoLab to explore intelligent cooperative behavior in sequential social dilemmas

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Social-STGCNN

Code for "Social-STGCNN: A Social Spatio-Temporal Graph Convolutional Neural Network for Human Trajectory Prediction" CVPR 2020

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socialforce

Numpy implementation of the Social Force model.

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socialways

Social Ways: Learning Multi-Modal Distributions of Pedestrian Trajectories with GANs

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Graph-WaveNet

Modifications to Graph Wavenet

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RAdam

On the Variance of the Adaptive Learning Rate and Beyond

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group-social-force

Simulation of Collective Behavior of Pedestrian Crowd in Normal and Emergency Situations

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RelationalGraphLearning

Relational graph learning for crowd navigation

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sha-rnn

Single Headed Attention RNN - "Stop thinking with your head"

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STGAT

STGAT: Modeling Spatial-Temporal Interactions for Human Trajectory Prediction

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SR-LSTM

States Refinement LSTM

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CrowdNav

[ICRA19] Crowd-aware Robot Navigation with Attention-based Deep Reinforcement Learning

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st-gcn

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

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FLY_US

美国大学备考资料 How to apply US colleges

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social-lstm

Social LSTM implementation in PyTorch

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incubator-singa

Mirror of Apache Singa (Incubating)

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