Official implementation of "Injecting Knowledge in Data-driven Vehicle Trajectory Predictors", Published in Transportation research part C.

📚 技术面试必备基础知识、Leetcode、计算机操作系统、计算机网络、系统设计

『Java八股文』Java面试套路，Java进阶学习，打破内卷拿大厂Offer，升职加薪！

Code for model proposed in: Nachiket Deo and Mohan M. Trivedi,"Convolutional Social Pooling for Vehicle Trajectory Prediction." CVPRW, 2018

Baseline Kalman models for trajectory predictions. One is constant velocity LSTM

Code release for ConvNeXt model

🔥LeetCode solutions in any programming language | 多种编程语言实现 LeetCode、《剑指 Offer（第 2 版）》、《程序员面试金典（第 6 版）》题解

Package gorilla/mux is a powerful HTTP router and URL matcher for building Go web servers with 🦍

This is the code base for our ACM CSCS 2019 paper: "RobustTP: End-to-End Trajectory Prediction for Heterogeneous Road-Agents in Dense Traffic with Noisy Sensor Inputs". This codebase contains imple…

Change the data format of NGSIM dataset to HighD dataset format

A python implementation of NGSIM data animation using pyglet

This repository collects a set of tools for extracting, visualizing, and simulating Next Generation Simulation (NGSIM) dataset. The tools are originally developed by Stanford Intelligent Systems La…

Simple visualization of NGSIM I-80 dataset

Preprocessing the ETH and UCY datasets

UCY and ETH dataset

Source Han Sans | 思源黑体 | 思源黑體 | 思源黑體 香港 | 源ノ角ゴシック | 본고딕

Repository for benchmarking graph neural networks

GUET课程表

B Spline curve interpolation and least squares fit cubic spline smoothing interpolation, refer THE NURBS BOOK

The devkit of the nuScenes dataset.

PyTorch implementation of "Simple and Deep Graph Convolutional Networks"

Offline documentation built from official PyTorch release

Graphormer is a general-purpose deep learning backbone for molecular modeling.

[CVPR 2021] "Multimodal Motion Prediction with Stacked Transformers": official code implementation and project page.

A PyTorch implementation of the Transformer model in "Attention is All You Need".

[ICCV 2021] Official PyTorch Implementation of "AgentFormer: Agent-Aware Transformers for Socio-Temporal Multi-Agent Forecasting".

[ECCV 2020] Code for "Spatio-Temporal Graph Transformer Networks for Pedestrian Trajectory Prediction"