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cadrl_ros

ROS package for dynamic obstacle avoidance for ground robots trained with deep RL

chinese_ocr

CTPN + DenseNet + CTC based end-to-end Chinese OCR implemented using tensorflow and keras

cornernet-lite

costar_plan

Integrating learning and task planning for robots with Keras, including simulation, real robot, and multiple dataset support.

craves.ai

CRAVES: Controlling Robotic Arm with a Vision-based, Economic System

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。

deep-reinforcement-learning-papers

A list of recent papers regarding deep reinforcement learning

deep-reinforcement-learning-with-pytorch

PyTorch implementation of DQN, AC, ACER, A2C, A3C, PG, DDPG, TRPO, PPO, SAC, TD3 and ....

deep-rl-tensorflow

TensorFlow implementation of Deep Reinforcement Learning papers

deeprl-agents

A set of Deep Reinforcement Learning Agents implemented in Tensorflow.

densenet

densenet-1

Densely Connected Convolutional Networks, In CVPR 2017 (Best Paper Award).

easy_handeye

Simple, straighforward ROS library for hand-eye calibration

efficient_densenet_pytorch

A memory-efficient implementation of DenseNets

elastic

example_of_reinforcement_lreaning_by_pytorch

一些利用pytorch编程实现的强化学习例子

fetchreach_gym

Implementation of DDPG+HER on gym robotics environment FetchReach-v1

ggcnn

Generative Grasping CNN from "Closing the Loop for Robotic Grasping: A Real-time, Generative Grasp Synthesis Approach" (RSS 2018)

ggcnn_kinova_grasping

Generative Grasping CNN from "Closing the Loop for Robotic Grasping: A Real-time, Generative Grasp Synthesis Approach" (RSS 2018)

gkccash_core

gpd

Detect 6-DOF grasp poses in point clouds

grasp_multiobject_multigrasp

An implementation of our RA-L work 'Real-world Multi-object, Multi-grasp Detection'

gym-gazebo

Refer to https://github.com/AcutronicRobotics/gym-gazebo2 for the new version

gym-gazebo2

gym-gazebo2 is a toolkit for developing and comparing reinforcement learning algorithms using ROS 2 and Gazebo

gym_flowers

Custom module that overrides gym to integrate custom environments from the lab.

learning-shifting-for-grasping

Robot Learning of Shifting Objects for Grasping in Cluttered Environments

lets-do-irl

Inverse RL algorithms (APP, MaxEnt, GAIL, VAIL)

mask_rcnn

Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow

maskrcnn_grasp_detection

This repository is an integration of Mask RCNN (object detection and segmentation) and ROS to implement automated pick and place operation using the UR10 robot arm.

mep

Maximum Entropy-Regularized Multi-Goal Reinforcement Learning (ICML 2019)