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深蓝学院 多传感器定位融合第四期 学习笔记
This repository contains the nine hundred sky segmentation datasets and the sky segmentation model provided by us.
Semantic segmentation models with 500+ pretrained convolutional and transformer-based backbones.
UrbanNav:An Open-sourced Multisensory Dataset for Benchmarking Positioning Algorithms Designed for Urban Areas
A dataset containing synchronized visual, inertial and GNSS raw measurements.
Navigation and localisation dataset for self driving cars and autonomous robots
Pretrained DeepLabv3 and DeepLabv3+ for Pascal VOC & Cityscapes
Fast and flexible image augmentation library. Paper about the library: https://www.mdpi.com/2078-2489/11/2/125
Semantic Segmentation in Pytorch. Network include: FCN、FCN_ResNet、SegNet、UNet、BiSeNet、BiSeNetV2、PSPNet、DeepLabv3_plus、 HRNet、DDRNet
我的导航算法学习笔记,内容涵盖导航定位开源程序的源码解读、开源项目梳理、书籍讲义、博客翻译、教程讲座推荐;所有内容都可以随意转载,原始文件都放在这里了,大家可以在我的基础上整理出自己的一些文档。(Tips:①主要是写给初学者,已经有基础的同学应该多看论文和代码,看我的笔记学不到啥;②仓库持续更新中,不建议 fork)
Code for CIKM'19 "CoRide: Joint Order Dispatching and Fleet Management for Multi-Scale Ride-Hailing Platforms"
a pytorch implementation of Exploiting Edge Features in Graph Neural Networks.
Concise pytorch implements of DRL algorithms, including REINFORCE, A2C, DQN, PPO(discrete and continuous), DDPG, TD3, SAC.
Source codes for the book "Reinforcement Learning: Theory and Python Implementation"
PyTorch implementation of DQN, AC, ACER, A2C, A3C, PG, DDPG, TRPO, PPO, SAC, TD3 and ....
Implementation of benchmark RL algorithms
Massively Parallel Deep Reinforcement Learning. 🔥
steve-tjiang / GISCUP-2020
Forked from JeroenSchols/COMSET-GISCUPSoftware Framework for GISCUP 2020.
Pytorch Implementation of Reinforcement Learning Algorithms ( Soft Actor Critic(SAC)/ DDPG / TD3 /DQN / A2C/ PPO / TRPO)
Agent-based fleet simulator to test strategies
Diffusion Convolutional Recurrent Neural Network Implementation in PyTorch
Code and models for "Learning to Compare Image Patches via Convolutional Neural Networks"
This is the repository for the collection of Graph Neural Network for Traffic Forecasting.
This is a Pytorch implementation of ASTGNN. Now the corresponding paper is available online at https://ieeexplore.ieee.org/document/9346058.
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)