247 Open source projects that are alternatives of or similar to Traffic-Prediction-Open-Code-Summary

A reading list for deep graph learning acceleration.

This project is a collection of recent research in areas such as new infrastructure and urban computing, including white papers, academic papers, AI lab and dataset etc.

Traffic data processing tools in LibCity

links to conference publications in graph-based deep learning

StellarGraph - Machine Learning on Graphs

ProteinGCN: Protein model quality assessment using Graph Convolutional Networks

PyTorch code for CVIU paper "AC-VRNN: Attentive Conditional-VRNN for Multi-Future Trajectory Prediction"

A PyTorch implementation of "SelfGNN: Self-supervised Graph Neural Networks without explicit negative sampling" paper, which appeared in The International Workshop on Self-Supervised Learning for the Web (SSL'21) @ the Web Conference 2021 (WWW'21).

Implementation of the WSDM 2021 paper "Node Similarity Preserving Graph Convolutional Networks"

Code and resources on scalable and efficient Graph Neural Networks

Graph Neural Network Library for PyTorch

A distributed graph deep learning framework.

Densely Connected Graph Convolutional Networks for Graph-to-Sequence Learning (authors' MXNet implementation for the TACL19 paper)

Codes for "Bridging the Gap Between Spectral and Spatial Domains in Graph Neural Networks" paper

An index of recommendation algorithms that are based on Graph Neural Networks.

codes of Deep Spatio-Temporal Graph Convolutional Network for Traffic Accident Prediction

Tutorials for Machine Learning on Graphs

Representation Learning on Graphs with Jumping Knowledge Networks

An R package for space-time anomaly detection using scan statistics.

No description or website provided.

Eclipse MOSAIC is a Multi-Domain and Multi-Scale Simulation Framework for Automated and Connected Mobility Scenarios.

Shell scripts to automate download of GitHub traffic statistics, cluster administration, and create an animated GIF.

Socket hook is an injector based on EasyHook (win only) which redirect the traffic to your local server.

🤒 A modern alternative network traffic sniffer.

GemNet model in PyTorch, as proposed in "GemNet: Universal Directional Graph Neural Networks for Molecules" (NeurIPS 2021)

Tensorflow Implementation of the paper "Topology Adaptive Graph Convolutional Networks" (Du et al., 2017)

Code for Graph Convolutional Matrix Factorization for Bipartite Edge Prediction

PyTorch implementation of MTAD-GAT (Multivariate Time-Series Anomaly Detection via Graph Attention Networks) by Zhao et. al (2020, https://arxiv.org/abs/2009.02040).

Combining relational context and relational paths for knowledge graph completion

Combining relational context and relational paths for knowledge graph completion

Resources for working with time series and sequence data

ST-Hadoop is an open-source MapReduce extension of Hadoop designed specially to analyze your spatio-temporal data efficiently

A Context-aware Visual Attention-based training pipeline for Object Detection from a Webpage screenshot!

Graph-based Deep Q Network for Web Navigation

Implementation of paper "Self-supervised Learning on Graphs:Deep Insights and New Directions"

Web on top of any protocol

The implement of GNN based on Pytorch

Behavior Prediction in Autonomous Driving

A Transportation-Themed Hackathon hosted by the City of Austin and the UT Center for Transportation Research

PyTorch implementation of the model presented in "Satellite Image Time Series Classification with Pixel-Set Encoders and Temporal Self-Attention"

From Random Walks to Transformer for Learning Node Embeddings (ECML-PKDD 2020) (In Pytorch and Tensorflow)

GraphNVP: An Invertible Flow Model for Generating Molecular Graphs

Inductive relation prediction by subgraph reasoning, ICML'20

Another AI toy project, of a traffic intersection controlled by a Reinforcement Learning AI agent to optimize traffic flow in an intersection of vehicles or pedestrians

Code for NAACL 2021 paper: MTAG: Modal-Temporal Attention Graph for Unaligned Human Multimodal Language Sequences

A paper list for Time series modelling, including prediciton and anomaly detection

[IJCAI 2019] Source code and datasets for "Hierarchical Graph Convolutional Networks for Semi-supervised Node Classification"

Official implementation codes of "Regularizing neural networks for future trajectory prediction via IRL framework"

PyTorch Implementation of GraphTSNE, ICLR’19

No description or website provided.

A new codebase for Group Activity Recognition. It contains codes for ICCV 2021 paper: Spatio-Temporal Dynamic Inference Network for Group Activity Recognition and some other methods.

Drug Similarity Integration Through Attentive Multi-view Graph Auto-Encoders (IJCAI 2018)

An End-to-End Machine Learning Library to Optimize AUC (AUROC, AUPRC).

Code & data accompanying the ICLR 2020 paper "Reinforcement Learning Based Graph-to-Sequence Model for Natural Question Generation"

⌛ Introducing Self-Attention to Target Attentive Graph Neural Networks (AISP '22)

Pytorch implementation of CVPR2020 paper “VectorNet: Encoding HD Maps and Agent Dynamics from Vectorized Representation”

The official repository for the CVPR 2019 paper "Overcoming Limitations of Mixture Density Networks: A Sampling and Fitting Framework for Multimodal Future Prediction"

(Work In Progress) Implementation of "Financial Time Series Prediction Using Deep Learning"

[arXiv] What-If Motion Prediction for Autonomous Driving ❓🚗💨

Repository of KDD Cup, 2018.