Alternatives and similar repositories for sns-lstm:

Users that are interested in sns-lstm are comparing it to the libraries listed below

• programmingLearner / MATF-architecture-details
  Architecture Details for CVPR 19 paper: Multi-Agent Tensor Fusion for Contextual Trajectory Prediction
  ☆57Updated 5 years ago
• svip-lab / CIDNN
  CIDNN: Encoding Crowd Interaction with Deep Neural Network
  ☆74Updated 6 years ago
• TNTant / social_lstm
  ☆16Updated 6 years ago
• tdavchev / DESIRE
  DESIRE: Distant Future Prediction in Dynamic Scenes with Interacting Agents
  ☆80Updated 6 years ago
• zhangpur / SR-LSTM
  States Refinement LSTM
  ☆120Updated 2 years ago
• trungmanhhuynh / Scene-LSTM
  Data and Code for "Scene-LSTM: A model for human trajectory prediction" (ISVC 2019)
  ☆69Updated 4 years ago
• crowdbotp / socialways
  Social Ways: Learning Multi-Modal Distributions of Pedestrian Trajectories with GANs (CVPR 2019)
  ☆124Updated 5 years ago
• azyner / radip
  Recurrent Array for Driver Intention Prediciton (RADIP) Code to accompany paper: Naturalistic Driver Intention and Path Prediction usin…
  ☆27Updated 6 years ago
• huang-xx / TrafficPredict
  Pytorch implementation for "TrafficPredict: Trajectory Prediction for Heterogeneous Traffic-Agents"
  ☆110Updated 5 years ago
• StanfordVL / STR-PIP
  Spatiotemporal Relationship Reasoning for Pedestrian Intent Prediction
  ☆77Updated 3 years ago
• SZamboni / Social_lstm_pedestrian_prediction
  Modification of the paper "Social LSTM: Human Trajectory Prediction in Crowded Space" with the insertion of a new way to take into accoun…
  ☆103Updated 6 years ago
• apratimbhattacharyya18 / onboard_long_term_prediction
  ☆24Updated 6 years ago
• avijit9 / social-lstm-pytorch
  PyTorch implementation of the Social LSTM model
  ☆17Updated 7 years ago
• biy001 / social-cnn-pytorch
  Human Trajectory Prediction in Socially Interacting Crowds Using a CNN-based Architecture
  ☆27Updated 6 years ago
• elbuco1 / AttentionMechanismsTrajectoryPrediction
  In this repository, one can find the code for my master's thesis project. The main goal of the project was to study and improve attention…
  ☆60Updated 5 years ago
• aras62 / PIEPredict
  PIE: A Large-Scale Dataset and Models for Pedestrian Intention Estimation and Trajectory Prediction
  ☆144Updated 2 years ago
• olly-styles / Dynamic-Trajectory-Predictor
  Forecasting Pedestrian Trajectory with Machine-Annotated Training Data. IV, 2019
  ☆24Updated 2 years ago
• xuehaouwa / SS-LSTM
  SS-LSTM model for pedestrian trajectory prediction
  ☆91Updated 6 years ago
• lmb-freiburg / Contrastive-Future-Trajectory-Prediction
  The official repository of the ICCV paper "On Exposing the Challenging Long Tail in Future Prediction of Traffic Actors"
  ☆28Updated 3 years ago
• umautobots / bidirection-trajectory-predicter
  The code for Bi-directional Trajectory Prediction (BiTraP).
  ☆85Updated last year
• umautobots / pedestrian_intent_action_detection
  Code for our paper "Coupling Intent and Action for Pedestrian Crossing Behavior Prediction"
  ☆24Updated 3 years ago
• chenghuang66 / s2tnet
  ☆39Updated 2 years ago
• marsmarcin / Visual-of-Social-GAN
  Show Visualization Result of Social GAN
  ☆58Updated 6 years ago
• vita-epfl / trajnetplusplustools
  Tools for TrajNet++
  ☆46Updated 4 years ago
• coolsunxu / sophie
  SoPhie: An Attentive GAN for Predicting Paths Compliant to Social and Physical Constraints
  ☆59Updated 2 years ago
• JoeHEZHAO / expert_traj
  ICCV2021 Expert-Goal Trajectory Prediction
  ☆27Updated 3 years ago
• EmreTaha / Social-LSTM-VehicleTrajectory
  Social LSTM using PyTorch for Vehicle Data
  ☆123Updated 4 years ago
• StanfordASL / Trajectron
  Code accompanying "The Trajectron: Probabilistic Multi-Agent Trajectory Modeling with Dynamic Spatiotemporal Graphs" by Boris Ivanovic an…
  ☆137Updated 4 years ago
• djp42 / IntentionPrediction
  Code to predict the intention of human drivers on the approach to intersections
  ☆28Updated 2 years ago
• rohanchandra30 / GraphRQI
  This is the codebase for our ICRA 2020 submission, GraphRQI: Classifying Driver Behaviors Using Graph Spectrums.
  ☆14Updated 5 years ago