sgan
Human trajectory predictor
An implementation of a Generative Adversarial Network for predicting human trajectories in social scenarios.
Code for "Social GAN: Socially Acceptable Trajectories with Generative Adversarial Networks", Gupta et al, CVPR 2018
835 stars
19 watching
263 forks
Language: Python
last commit: almost 2 years ago
Linked from 1 awesome list
deep-learninggenerative-adversarial-networkhuman-trajectory-predictionpytorchsocial-navigationtrajectory-prediction
Related projects:
| Repository | Description | Stars |
|---|---|---|
| | This project aims to predict motion and perceive scenes from bird's eye view maps for autonomous driving | 169 |
| | A deep learning-based system for generating precise grasp poses for robots in real-time | 525 |
| | An implementation of Deepmind's Visual Interaction Networks using PyTorch to predict future events in physical scenes. | 166 |
| | An n-Gram predictor algorithm implemented in ActionScript 3.0 to predict the next action based on saved data or sequences. | 4 |
| | An implementation of an attention-based graph neural network in PyTorch for semi-supervised learning | 146 |
| | A PyTorch-based implementation of a predictive model for human mobility patterns using attention mechanisms and recurrent neural networks. | 149 |
| | A PyTorch implementation of a Generative Adversarial Network (GAN) for discovering cross-domain relations. | 1,084 |
| | This project proposes a solution to predict salient areas in images using convolutional neural networks. | 186 |
| | Recurrent neural network model for predicting people's next location based on spatial and temporal features | 28 |
| | An AI project that trains a neural network to predict the angle between two points using JavaScript and synaptic.js. | 6 |
| | Visualizes and understands internal representations of generative adversarial networks (GANs) to analyze their behavior and improve performance. | 1,770 |
| | A tool for inferring genomic trajectories from expression data with environmental and genetic covariates | 10 |
| | An implementation of a neural network architecture for processing graph-structured data and making predictions on nodes. | 466 |
| | An implementation of a machine learning-based communications system using deep learning techniques. | 127 |
| | A PyTorch extension for building temporal graph neural networks with support for recurrent and attention-based models | 2,694 |