#
Lists (1)
Starred repositories
ReSim: Reliable World Simulation for Autonomous Driving
All kind of experts that can collect data for e2e learning in CARLA; 根据现有的开源代码，收集的相关experts
Code to extract stereo frame pairs from 3D videos, as used in "Ranftl et. al., Towards Robust Monocular Depth Estimation: Mixing Datasets for Zero-shot Cross-dataset Transfer, arXiv:1907.01341"
assistant tools for attention visualization in deep learning
BoxMOT: pluggable SOTA tracking modules for segmentation, object detection and pose estimation models
Multi-Head Attention, Transformer, Perceiver, Linear Attention.
Variational autoencoder implemented in PyTorch. Derives the ELBO, Log-Derivative trick, Reparameterization trick.
A fast and efficient type assistant for Python, including tensor shape inference
High-resolution map (OpenDrive\Apollo) visualization and conversion tools
3d Multi-Object Tracking in Python
[CoRL 2022] InterFuser: Safety-Enhanced Autonomous Driving Using Interpretable Sensor Fusion Transformer
Repo of "GoalFlow: Goal-Driven Flow Matching for Multimodal Trajectories Generation in End-to-End Autonomous Driving"
3D Gaussian Rendering PlayGround: an open-source autonomous driving closed-loop simulator demo using 3D Gaussian Splatting tech
CleanDiffuser: An Easy-to-use Modularized Library for Diffusion Models in Decision Making
[RA-L 2024] A LiDAR-inertial-visual odometry and mapping system based on the sweep reconstruction method
NVIDIA's Deep Imagination Team's PyTorch Library
An open source code repository of driving world models, with training, inferencing, evaluation tools, and pretrained checkpoints.
Implementation of Recovery RL: Safe Reinforcement Learning With Learned Recovery Zones.
(CoRL 2019) Driving in CARLA using waypoint prediction and two-stage imitation learning
Solutions to labs presented at Berkeley CA during the Deep RL Bootcamp: https://sites.google.com/view/deep-rl-bootcamp/lectures
WhisperX: Automatic Speech Recognition with Word-level Timestamps (& Diarization)
Deep Reinforcement Learning (PPO) in Autonomous Driving (Carla) [from scratch]
Reinforcement-Learning-for-Decision-Making-in-self-driving-cars
Python Implementation of Reinforcement Learning: An Introduction
Some basic examples of playing with RL