sgan
by agrimgupta92
Code for "Social GAN: Socially Acceptable Trajectories with Generative Adversarial Networks", Gupta et al, CVPR 2018
AI summary
Human trajectory predictor
An implementation of a Generative Adversarial Network for predicting human trajectories in social scenarios.
- stars
- 835
- forks
- 263
- watching
- 19
- awesome list
- 1
Similar projects
Found by comparing what the projects do, not just their names.
Motion prediction system
This project aims to predict motion and perceive scenes from bird's eye view maps for autonomous driving
dougsm/ggcnn525
Grasp predictor
A deep learning-based system for generating precise grasp poses for robots in real-time
Future prediction model
An implementation of Deepmind's Visual Interaction Networks using PyTorch to predict future events in physical scenes.
Action sequence predictor
An n-Gram predictor algorithm implemented in ActionScript 3.0 to predict the next action based on saved data or sequences.
Graph Neural Network
An implementation of an attention-based graph neural network in PyTorch for semi-supervised learning
Human Mobility Model
A PyTorch-based implementation of a predictive model for human mobility patterns using attention mechanisms and recurrent neural networks.
GAN model
A PyTorch implementation of a Generative Adversarial Network (GAN) for discovering cross-domain relations.
Image segmentation predictor
This project proposes a solution to predict salient areas in images using convolutional neural networks.
Location predictor
Recurrent neural network model for predicting people's next location based on spatial and temporal features
Point Angle Predictor
An AI project that trains a neural network to predict the angle between two points using JavaScript and synaptic.js.
GAN analyzer
Visualizes and understands internal representations of generative adversarial networks (GANs) to analyze their behavior and improve performance.
Genomic trajectory inference
A tool for inferring genomic trajectories from expression data with environmental and genetic covariates
Graph neural network
An implementation of a neural network architecture for processing graph-structured data and making predictions on nodes.
Communications system
An implementation of a machine learning-based communications system using deep learning techniques.
Temporal graph NN library
A PyTorch extension for building temporal graph neural networks with support for recurrent and attention-based models
Featured in 1 awesome list
Each link jumps to the spot where the list mentions sgan.
