liyvfeng

liyvfeng's Stars

• zergtant/pytorch-handbook

  pytorch handbook是一本开源的书籍，目标是帮助那些希望和使用PyTorch进行深度学习开发和研究的朋友快速入门，其中包含的Pytorch教程全部通过测试保证可以成功运行

  Language:Jupyter Notebook20.2k531835.4k

• thu-ml/tianshou

  An elegant PyTorch deep reinforcement learning library.

  Language:Python7.8k907401.1k

• abhineet123/Deep-Learning-for-Tracking-and-Detection

  Collection of papers, datasets, code and other resources for object tracking and detection using deep learning

  Language:HTML2.4k1556654

• Lizhi-sjtu/DRL-code-pytorch

  Concise pytorch implements of DRL algorithms, including REINFORCE, A2C, DQN, PPO(discrete and continuous), DDPG, TD3, SAC.

  Language:Python1k515174

• andyzeng/visual-pushing-grasping

  Train robotic agents to learn to plan pushing and grasping actions for manipulation with deep reinforcement learning.

  Language:Python9133390313

• reiniscimurs/DRL-robot-navigation

  Deep Reinforcement Learning for mobile robot navigation in ROS Gazebo simulator. Using Twin Delayed Deep Deterministic Policy Gradient (TD3) neural network, a robot learns to navigate to a random goal point in a simulated environment while avoiding obstacles.

  Language:Python5668158119

• graspnet/graspnet-baseline

  Baseline model for "GraspNet-1Billion: A Large-Scale Benchmark for General Object Grasping" (CVPR 2020)

  Language:Python4739116142

• RussTedrake/manipulation

  Course notes for MIT manipulation class

  Language:Jupyter Notebook4151766122

• AndrejOrsula/drl_grasping

  Deep Reinforcement Learning for Robotic Grasping from Octrees

  Language:Python38797350

• rhett-chen/Robotic-grasping-papers

  paper list of robotic grasping and some related works

  2317014

• jake3991/sonar-SLAM

  Underwater SLAM for robots with multibeam sonar

  Language:Python18341728

• imasmitja/RLforUTracking

  Deep Reinforcement Learning (RL) algorithms for underwater target tracking with Autonomous Underwater Vehicles (AUV)

  Language:Python67129

• zhaobinglei/REGNet_for_3D_Grasping

  RGENet is a REgion-based Grasp Network for End-to-end Grasp Detection in Point Clouds. It aims at generating the optimal grasp of novel objects from partial noisy observations.

  Language:Python5621610

• yiyunevin/RL-RRT-Local-Planner

  A ROS package of a autonomous navigation method based on SAC and Bidirectional RRT* (Repository RL-RRT-Global-Planner).

  Language:Python43161

• pengzhi1998/Underwater-obstacle-avoidance

  The underwater robot obstacle avoidance project with the method of deep reinforcement learning

  Language:Python40239

• paulrupprecht/VisualServoing

  UR5 Control based on two different VS concepts: PBVS, IBVS

  Language:Makefile19124

• LiuYuha0/underwater_robot_sim

  Simulation on dynaminc modeling and control of UVDMS(Underwater Vehicle Dual-Manipulator System)

  Language:MATLAB18110

• toxuandung/DRL_Navigation_Robot_ROS2_Foxy

  DRL_Navigation_Robot_ROS2_Foxy

  Language:Python18

• nickhward/Aubo-Pick-And-Place

  A way to perform pick and place operations using deep learning algorithms GPD and YOLO.

  Language:C++17212

• ShivamVadalia/Underwater-Waste-Detection-Using-YoloV8-And-Water-Quality-Assessment

  Neural Ocean is a project that addresses the issue of growing underwater waste in oceans and seas. It offers three solutions: YoloV8 Algorithm-based underwater waste detection, a rule-based classifier for aquatic life habitat assessment, and a Machine Learning model for water classification as fit for drinking or irrigation or not fit.

  Language:Jupyter Notebook17207

• AlinaBaber/ReinforcementLearning-QLearning-based-self-tuned-PID-controller-for-AUV-MatLab

  Language:MATLAB16104

• MihirSPatil/Deep-Reinforcement-Learning-for-Continuous-Control-Docking-of-Autonomous-Underwater-Vehicles

  Code for the thesis

  Language:C++14319

• victorkich/MA-GRID

  Multi Agent SAC and DDPG applied to path finding in a 3-dimensional grid

  Language:Python9101

• maxspahn/panda_ros_mpc

  Package for mpc control of panda arm

  Language:Python8300

• YoannSOLA/Soft-Actor-Critic_for_RexROV2

  Application of the Soft Actor-Critic algorithm to the control and guidance of the RexROV 2, based on the UUV Simulator

  Language:Python8101

• zcemycl/ProbabilisticPerspectiveMachineLearning

  To replicate machine learning, deep learning and reinforcement learning concepts with Python and MATLAB

  Language:Jupyter Notebook7203

• EdwardoSunny/YOLOv5-Point-Cloud-Segmentation

  Language:Makefile41

• zhaobinglei/REGNet-V2

  Language:Python20

• Mohammedabdalqader/DRL

  My journey in Udacity Deep Reinforcement Learning Nanodegree icluding: projects and implementation of algorithms and much more :wink:

  Language:Jupyter Notebook1

• wang-h-w/GraspNet-baseline

  Baseline model for "GraspNet-1Billion: A Large-Scale Benchmark for General Object Grasping" (CVPR 2020)

  Language:Python1000