huaqianxi Goto Github PK

awesome-llm4ad

A curated list of awesome LLM for Autonomous Driving resources (continually updated)

cameracalibration

Fisheye or Normal Camera Intrinsic and Extrinsic Calibration. Surround Camera Bird Eye View Generator.

carla-expert

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

dmpr-ps

DMPR-PS: A Novel Approach for Parking-Slot Detection Using Directional Marking-Point Regression

elastic-dt

[NeurIPS 2023] Implementation of Elastic Decision Transformer

fsacoco

Open source cone detection dataset for FSAC

fsd_algorithm

Formula Student Driverless Autonomous Code from BITFSD

fsd_skeleton

fssim

Formula Student Simulator dedicated for FSD competition

gpt-2

Code for the paper "Language Models are Unsupervised Multitask Learners"

hello-algo

《Hello 算法》：动画图解、一键运行的数据结构与算法教程，支持 Python, C++, Java, C#, Go, Swift, JS, TS, Dart, Rust, C, Zig 等语言。English edition ongoing

highwayenv

A minimalist environment for decision-making in autonomous driving

highwayenv_ray

min-decision-transformer

Minimal implementation of Decision Transformer: Reinforcement Learning via Sequence Modeling in PyTorch for mujoco control tasks in OpenAI gym

mingpt

A minimal PyTorch re-implementation of the OpenAI GPT (Generative Pretrained Transformer) training

multi-agent-transformer

pythondatasciencehandbook

Python Data Science Handbook: full text in Jupyter Notebooks

pythonrobotics

Python sample codes for robotics algorithms.

reinforcementlearninginautopilot

RL in AutoPilot 自动驾驶强化学习：效果展示，框架设计、算法和训练经验文档等（部分开源，update from private repo: egocar）

rl-agents

Implementations of Reinforcement Learning and Planning algorithms

rl_hw2

强化学习第二次作业，自动驾驶

ros_21_tutorials

《古月 · ROS入门21讲》课件&源码

ros_exploring

《ROS机器人开发实践》源码

rviz_visual_tools

C++ API wrapper for displaying shapes and meshes in Rviz

sefl-driving_taxi_qlearning

根据隐马尔科夫原理,依据Q-learning的加强学习算法, 构建一个能够自学习交通规则 并且能够经过加强学习训练之后 找到最佳规划路线 并且能在规定时间到达. 目前优化后的成功率达到99%. 这个是自动驾驶路线规划的重要部分.

smartcab

运用强化学习技术让一个自动驾驶智能车在一个简化的世界中，并且在有限时间内高效地抵达目的地。

visionmamba

Implementation of Vision Mamba from the paper: "Vision Mamba: Efficient Visual Representation Learning with Bidirectional State Space Model" It's 2.8x faster than DeiT and saves 86.8% GPU memory when performing batch inference to extract features on high-res images

whirlwindtourofpython

The Jupyter Notebooks behind my OReilly report, "A Whirlwind Tour of Python"