KerbalChan
A junior in SCUT A participant in FSAE China A newbie in computer programming
South China University of TechnologyGuangzhou
Pinned Repositories
C-Resource
黑马程序员匠心之作|C++教程从0到1入门编程
DESIRE
DESIRE: Distant Future Prediction in Dynamic Scenes with Interacting Agents
Highway_Driving
Program for vehicle motion prediction, behavior planning, and trajectory generation on a car in simulation driving on a 3-lane highway.
Human-Path-Prediction
State-of-the-art methods for human trajectory forecasting. Contains code for papers published at ECCV 2020 and ICCV 2021.
SGNet.pytorch
social-lstm
Social LSTM implementation in PyTorch
social-lstm-tf
Tensorflow implementation of the Social LSTM model
Social-LSTM-VehicleTrajectory
Social LSTM using PyTorch for Vehicle Data
social-nce-trajectron-plus-plus
[ICCV'21] PyTorch implementation of the Social-NCE applied to Trajectron++.
Trajectron
Code accompanying "The Trajectron: Probabilistic Multi-Agent Trajectory Modeling with Dynamic Spatiotemporal Graphs" by Boris Ivanovic and Marco Pavone.
KerbalChan's Repositories
KerbalChan/C-Resource
黑马程序员匠心之作|C++教程从0到1入门编程
KerbalChan/DESIRE
DESIRE: Distant Future Prediction in Dynamic Scenes with Interacting Agents
KerbalChan/Highway_Driving
Program for vehicle motion prediction, behavior planning, and trajectory generation on a car in simulation driving on a 3-lane highway.
KerbalChan/Human-Path-Prediction
State-of-the-art methods for human trajectory forecasting. Contains code for papers published at ECCV 2020 and ICCV 2021.
KerbalChan/SGNet.pytorch
KerbalChan/social-lstm
Social LSTM implementation in PyTorch
KerbalChan/social-lstm-tf
Tensorflow implementation of the Social LSTM model
KerbalChan/Social-LSTM-VehicleTrajectory
Social LSTM using PyTorch for Vehicle Data
KerbalChan/social-nce-trajectron-plus-plus
[ICCV'21] PyTorch implementation of the Social-NCE applied to Trajectron++.
KerbalChan/Trajectron
Code accompanying "The Trajectron: Probabilistic Multi-Agent Trajectory Modeling with Dynamic Spatiotemporal Graphs" by Boris Ivanovic and Marco Pavone.
KerbalChan/Trajectron-plus-plus
Code accompanying the ECCV 2020 paper "Trajectron++: Dynamically-Feasible Trajectory Forecasting With Heterogeneous Data" by Tim Salzmann*, Boris Ivanovic*, Punarjay Chakravarty, and Marco Pavone (* denotes equal contribution).
KerbalChan/Trajectron-plus-plus-1
KerbalChan/VAE-CVAE-MNIST
Variational Autoencoder and Conditional Variational Autoencoder on MNIST in PyTorch