Open3D: A Modern Library for 3D Data Processing

Argument Parser for Modern C++

[CVPR 2024 Award Candidate] Producing and Leveraging Online Map Uncertainty in Trajectory Prediction

[SIGGRAPH'24] 2D Gaussian Splatting for Geometrically Accurate Radiance Fields

PLUTO: Push the Limit of Imitation Learning-based Planning for Autonomous Driving

HKUST Thesis LaTeX3 Template (Available on Overleaf/TeXPage)

[AAAI 2024] Evolving and Distinct Anchors for Multimodal Motion Prediction

21 Lessons, Get Started Building with Generative AI 🔗 https://microsoft.github.io/generative-ai-for-beginners/

Code for IROS 2023 paper "A Game-Theoretic Framework for Joint Forecasting and Planning"

A library for differentiable nonlinear optimization

[NeurIPS 2023] PyTorch Implementation of "Social Motion Prediction with Cognitive Hierarchies"

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

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

为GPT/GLM等LLM大语言模型提供实用化交互接口，特别优化论文阅读/润色/写作体验，模块化设计，支持自定义快捷按钮&函数插件，支持Python和C++等项目剖析&自译解功能，PDF/LaTex论文翻译&总结功能，支持并行问询多种LLM模型，支持chatglm3等本地模型。接入通义千问, deepseekcoder, 讯飞星火, 文心一言, llama2, rwkv, claude2, m…

A JAX-based simulator for autonomous driving research.

A fast and differentiable model predictive control (MPC) solver for PyTorch.

[ICCV 2023] INT2: Interactive Trajectory Prediction at Intersections

[ICRA'2024] Rethinking Imitation-based Planner for Autonomous Driving

PyTorch code for Vision Transformers training with the Self-Supervised learning method DINO

Open-sourced codes for MiniGPT-4 and MiniGPT-v2 (https://minigpt-4.github.io, https://minigpt-v2.github.io/)

A fast and memory-efficient libarary for sparse transformer with varying token numbers (e.g., 3D point cloud).

Self-contained, minimalistic implementation of diffusion models with Pytorch.

This is a list of papers related to traffic agent trajectory prediction.

[ICRA 2023] The official code for paper "TrafficGen: Learning to Generate Diverse and Realistic Traffic Scenarios"

[ICCV 2023 Oral] Game-theoretic modeling and learning of Transformer-based interactive prediction and planning

Imposition of Hard Convex Constraints on Neural Networks

[IEEE T-PAMI 2023] Unified heterogeneous transformer-based graph neural network for motion prediction