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ROS package for dynamic obstacle avoidance for ground robots trained with deep RL
CTPN + DenseNet + CTC based end-to-end Chinese OCR implemented using tensorflow and keras
Integrating learning and task planning for robots with Keras, including simulation, real robot, and multiple dataset support.
CRAVES: Controlling Robotic Arm with a Vision-based, Economic System
《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。
A list of recent papers regarding deep reinforcement learning
PyTorch implementation of DQN, AC, ACER, A2C, A3C, PG, DDPG, TRPO, PPO, SAC, TD3 and ....
TensorFlow implementation of Deep Reinforcement Learning papers
A set of Deep Reinforcement Learning Agents implemented in Tensorflow.
Densely Connected Convolutional Networks, In CVPR 2017 (Best Paper Award).
Simple, straighforward ROS library for hand-eye calibration
A memory-efficient implementation of DenseNets
一些利用pytorch编程实现的强化学习例子
Implementation of DDPG+HER on gym robotics environment FetchReach-v1
Generative Grasping CNN from "Closing the Loop for Robotic Grasping: A Real-time, Generative Grasp Synthesis Approach" (RSS 2018)
Generative Grasping CNN from "Closing the Loop for Robotic Grasping: A Real-time, Generative Grasp Synthesis Approach" (RSS 2018)
Detect 6-DOF grasp poses in point clouds
An implementation of our RA-L work 'Real-world Multi-object, Multi-grasp Detection'
Refer to https://github.com/AcutronicRobotics/gym-gazebo2 for the new version
gym-gazebo2 is a toolkit for developing and comparing reinforcement learning algorithms using ROS 2 and Gazebo
Custom module that overrides gym to integrate custom environments from the lab.
Robot Learning of Shifting Objects for Grasping in Cluttered Environments
Inverse RL algorithms (APP, MaxEnt, GAIL, VAIL)
Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow
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.
Maximum Entropy-Regularized Multi-Goal Reinforcement Learning (ICML 2019)
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.