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seq2seq

Sequence to Sequence Learning with Keras

sf-gru

Pedestrian Action Anticipation using Contextual Feature Fusion in Stacked RNNs

sfmlearner

An unsupervised learning framework for depth and ego-motion estimation from monocular videos

sgan

Code for "Social GAN: Socially Acceptable Trajectories with Generative Adversarial Networks", Gupta et al, CVPR 2018

sgnet.pytorch

Pytorch Implementation for Stepwise Goal-Driven Networks for Trajectory Prediction (RA-L/ICRA2022)

simp3

single_pose_cnc

This is the implementation of 'Fast Estimating Pedestrian Crossing State Based on Single 2D Human Body Pose for Autonomous Driving'

sns-lstm

social-cnn-pytorch

Human Trajectory Prediction in Socially Interacting Crowds Using a CNN-based Architecture

social-lstm

Social LSTM implementation in PyTorch

social-lstm-for-predicting-player-trajectories-in-soccer

Searching for a Strategy: Modelling Player Trajectories in Soccer Games using Social LSTM

social-lstm-tf

Tensorflow implementation of the Social LSTM model

social-stgcnn

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

social_lstm

social_lstm_keras_tf

Social LSTM with Tensorflow (Please see `renew` branch now)

source

This repository contains the Javascript code that is appended to the Dota 2 UI code for the Dota 2 Auto Chess UI mod

ss-lstm

SS-LSTM model for pedestrian trajectory prediction

stf-rnn

Keras implementation of STF-RNN: Space Time Features-based Recurrent Neural Network for Predicting People Next Location

stochastic-futures-prediction

Code for the series of blog posts at Devbg.

super-fast-accurate-3d-object-detection

Super Fast and Accurate 3D Object Detection based on 3D LiDAR Point Clouds (The PyTorch implementation)

sylvester-flows

tf-pose-estimation

Deep Pose Estimation implemented using Tensorflow with Custom Architectures for fast inference.

tfoptflow

Optical Flow Prediction with TensorFlow. Implements "PWC-Net: CNNs for Optical Flow Using Pyramid, Warping, and Cost Volume," by Deqing Sun et al. (CVPR 2018)

trajectory-prediction-tools

A tool set for trajectory prediction, ready for pip install

trajectron-plus-plus

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

vade

Python code for paper - Variational Deep Embedding : A Generative Approach to Clustering

vq-vae_keras_implementation

Keras Implementation of Vector Quantizer Variational AutoEncoder (VQ-VAE)

vr-pcp