The Purdue Digital Twin Lab aims to produce new insights into device-edge-cloud data-driven communicating frameworks and future transportation services, build digital replicas of real-world entities based on AI, big data, cloud/edge computing, and mixed reality. Our goal aims to create an environment with freedom and inclusion to explore newly generating thoughts and make outstanding contributions to our field or even the whole industry as research scientists.
Purdue Digital Twin Lab
Purdue Digital Twin Lab aims to build digital replicas of real-world entities based on AI, big data, cloud/edge computing, and mixed reality.
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- West Lafayette, IN
- https://purduedigitaltwin.github.io/
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- llm4ad Public
PurdueDigitalTwin/llm4ad’s past year of commit activity - PurdueDigitalTwin.github.io Public
🏠 Homepage for Purdue Digital Lab https://purduedigitaltwin.github.io
PurdueDigitalTwin/PurdueDigitalTwin.github.io’s past year of commit activity - seneva Public archive
[CVPR 2024] Quantifying Uncertainty in Motion Prediction with Variational Bayesian Mixture
PurdueDigitalTwin/seneva’s past year of commit activity - neo-lightning-hydra-template Public template Forked from juanwulu/neo-lightning-hydra-template
Customized PyTorch Lightning + Hydra template for ML fast prototyping and experiments.
PurdueDigitalTwin/neo-lightning-hydra-template’s past year of commit activity - Talk2Drive Public
[ITSC 2024] Personalized Autonomous Driving with Large Language Models: Field Experiments
PurdueDigitalTwin/Talk2Drive’s past year of commit activity - LaMPilot Public
[CVPR 2024] LaMPilot: An Open Benchmark Dataset for Autonomous Driving with Language Model Programs
PurdueDigitalTwin/LaMPilot’s past year of commit activity - REDFormer Public
[ITSC 23] Official codebase for the paper 'Radar Enlighten the Dark: Enhancing Low-Visibility Perception for Automated Vehicles with Camera-Radar Fusion
PurdueDigitalTwin/REDFormer’s past year of commit activity - M2DAR Public
This repository contains PyTorch code and models for M2DAR, a solution to the AI City Challenge Track 3 on driver action recognition in untrimmed videos.
PurdueDigitalTwin/M2DAR’s past year of commit activity
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