Xiaoyu006's Stars
rainmaker22/SMART
SMART: Scalable Multi-agent Real-time Motion Simulation via Next-token Prediction
regenmacher22/SMART
SMART: Scalable Multi-agent Real-time Motion Simulation via Next-token Prediction
zhejz/TrafficBots
TrafficBots: Towards World Models for Autonomous Driving Simulation and Motion Prediction. ICRA 2023. You may also want to check out the updated version: https://github.com/zhejz/TrafficBotsV1.5
LiamTheronC/GoDNet
Goal Driven Multi-Modal Motion Prediction Network
pypose/pypose
A library for differentiable robotics.
SysCV/TrafficBots
TrafficBots: Towards World Models for Autonomous Driving Simulation and Motion Prediction. ICRA 2023. Code is now available at https://github.com/zhejz/TrafficBots
motional/nuplan-devkit
The devkit of the nuPlan dataset.
sshaoshuai/MTR
MTR: Motion Transformer with Global Intention Localization and Local Movement Refinement, NeurIPS 2022.
mattiasegu/uncertainty_estimation_deep_learning
This repository provides the code used to implement the framework to provide deep learning models with total uncertainty estimates as described in "A General Framework for Uncertainty Estimation in Deep Learning" (Loquercio, Segù, Scaramuzza. RA-L 2020).
Henry1iu/TNT-Trajectory-Prediction
A Unofficial Pytorch Implementation of TNT: Target-driveN Trajectory Prediction
pyg-team/pytorch_geometric
Graph Neural Network Library for PyTorch
yilinmo/yilinmo.github.io
Personal Website
p-christ/Deep-Reinforcement-Learning-Algorithms-with-PyTorch
PyTorch implementations of deep reinforcement learning algorithms and environments
Curt-Park/rainbow-is-all-you-need
Rainbow is all you need! A step-by-step tutorial from DQN to Rainbow
tensorflow/agents
TF-Agents: A reliable, scalable and easy to use TensorFlow library for Contextual Bandits and Reinforcement Learning.
germain-hug/Deep-RL-Keras
Keras Implementation of popular Deep RL Algorithms (A3C, DDQN, DDPG, Dueling DDQN)
carla-simulator/carla
Open-source simulator for autonomous driving research.