Vic2901

SIMPL

SIMPL: A Simple and Efficient Multi-agent Motion Prediction Baseline for Autonomous Driving

DTPP

[ICRA 2024] Differentiable Joint Conditional Prediction and Cost Evaluation for Tree Policy Planning

forecast-mae

[ICCV'2023] Forecast-MAE: Self-supervised Pre-training for Motion Forecasting with Masked Autoencoders

UniAD

[CVPR 2023 Best Paper Award] Planning-oriented Autonomous Driving

mmTransformer

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

GANet

QCNet

[CVPR 2023] Query-Centric Trajectory Prediction

waymo-motion-prediction-challenge-2022-multipath-plus-plus

Solution for Waymo Motion Prediction Challenge 2022. Our implementation of MultiPath++

HighwayEnv

A minimalist environment for decision-making in autonomous driving

HiVT

[CVPR 2022] HiVT: Hierarchical Vector Transformer for Multi-Agent Motion Prediction

YouCompleteMe

A code-completion engine for Vim

Cpp-Concurrency-in-Action-2ed

C++11/14/17/20 multithreading, involving operating system principles and concurrent programming technology.

CPP-Concurrency-In-Action-2ed-2019

:book: 作为对《C++ Concurrency in Action - SECOND EDITION》的中文翻译。

uvadlc_notebooks

Repository of Jupyter notebook tutorials for teaching the Deep Learning Course at the University of Amsterdam (MSc AI), Fall 2023

graphSAGE-pytorch

A PyTorch implementation of GraphSAGE. This package contains a PyTorch implementation of GraphSAGE.

gpustat

📊 A simple command-line utility for querying and monitoring GPU status

onnx-tensorrt

ONNX-TensorRT: TensorRT backend for ONNX

Apollo-Note

Note for Apollo 3.0 perception, prediction and planning modules

pytorch_scatter

PyTorch Extension Library of Optimized Scatter Operations

STR-PIP

Spatiotemporal Relationship Reasoning for Pedestrian Intent Prediction

argoverse-api

Official GitHub repository for Argoverse dataset

pyGAT

Pytorch implementation of the Graph Attention Network model by Veličković et. al (2017, https://arxiv.org/abs/1710.10903)

GNNPapers

Must-read papers on graph neural networks (GNN)

LaneGCN

[ECCV2020 Oral] Learning Lane Graph Representations for Motion Forecasting

GraphNeuralNetwork

《深入浅出图神经网络：GNN原理解析》配套代码

yet-another-vectornet

Vectornet for trajectory prediction, implemented in PyTorch/Torch_geometric

ml_implementation

Implementation of Machine Learning Algorithms

fucking-algorithm

刷算法全靠套路，认准 labuladong 就够了！English version supported! Crack LeetCode, not only how, but also why.

nuscenes-devkit

The devkit of the nuScenes dataset.

AVData

Autonomous Vehicle Seasonal Dataset