All Algorithms implemented in Python

Code for: "Social-Implicit: Rethinking Trajectory Prediction Evaluation and The Effectiveness of Implicit Maximum Likelihood Estimation" Accepted @ ECCV2022

Code for CVPR 2022 paper "Generating Useful Accident-Prone Driving Scenarios via a Learned Traffic Prior"

MetaDrive: Lightweight driving simulator for everyone

ScenarioNet: Scalable Traffic Scenario Management System for Autonomous Driving

PyTorch and TensorFlow implementation of NCP, LTC, and CfC wired neural models

Closed-form Continuous-time Neural Networks

Official DeiT repository

Code used by the "Clifford Group Equivariant Neural Networks" paper.

This repository provides the code and model checkpoints for AIMv1 and AIMv2 research projects.

Official PyTorch implementation of CODA-LM(https://arxiv.org/abs/2404.10595)