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yaozh.g-nwpu's Projects

ailearning icon ailearning

AiLearning: 机器学习 - MachineLearning - ML、深度学习 - DeepLearning - DL、自然语言处理 NLP

crowdos icon crowdos

打造群智感知计算领域的系统平台!//Build a system platform in the field of crowd sensing computing!

d2l-zh icon d2l-zh

《动手学深度学习》:面向中文读者、能运行、可讨论。英文版即伯克利“深度学习导论”教材。

deeprl_network icon deeprl_network

multi-agent deep reinforcement learning for networked system control.

dynslam icon dynslam

Master's Thesis on Simultaneous Localization and Mapping in dynamic environments. Separately reconstructs both the static environment and the dynamic objects from it, such as cars.

macad-gym icon macad-gym

Multi-Agent Connected Autonomous Driving (MACAD) Gym environments for Deep RL. Code for the paper presented in the Machine Learning for Autonomous Driving Workshop at NeurIPS 2019:

ns3-mmwave icon ns3-mmwave

ns-3 module for simulating mmWave-based cellular systems. See https://ieeexplore.ieee.org/document/8344116/ (open access) as a reference.

object-oriented-slam icon object-oriented-slam

A C++ implementation for paper Object-oriented SLAM using Quadrics and Symmetry Properties for Indoor Environments.

orb_slam2_ssd_semantic icon orb_slam2_ssd_semantic

动态语义SLAM 目标检测+VSLAM+光流/多视角几何动态物体检测+octomap地图+目标数据库

pylot icon pylot

Modular autonomous driving platform running on the CARLA simulator and real-world vehicles.

reinforcement-learning icon reinforcement-learning

Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.

reslam icon reslam

RESLAM: A real-time robust edge-based SLAM system

rl-adventure icon rl-adventure

Pytorch Implementation of DQN / DDQN / Prioritized replay/ noisy networks/ distributional values/ Rainbow/ hierarchical RL

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