dovanhuong

object_detection_2d

This source code to take object detection from 2D and point out the position in 3D coordinate of object.

Q-Learning_hopper_robot_ROS_R0

This robot used Q-Learning algorithm for Hopper robot can learn how to reach the desired point in meters. Thanks to ROS platform, Gazebo 7, the construct tutorial, OpenAI Gym to make this simulation.

Universal-Robot-UR5-and-golf-platform-Environment

This package was created an environment for UR5 learn how to play the Golf with Deep reinforcement Learning algorithm.

Ceres_pose_graph_2d_optimization_r0

My_moving_cube_training_R0

This project was used Q-Learning algorithm to training robot how to rotate and move to the desired position. Thanks to ROS and Gazeo7 and OpenAI Gym library were provided great environment to complete this simulation.

A-Convolutional-Neural-Network-Cascade-for-Face-Detection

TensorFlow implementation of "A Convolutional Neural Network Cascade for Face Detection", CVPR 2015

AXI_BFM

AXI4 BFM in Verilog

Baselines_UR5_issue

Openai_baselines_UR5_DRL_training Issue with attribute error

Cart-pole-training-with-OpenAI-Gym

This package for Cartpole training with OpenaAI Gym

Computer-Vision-Projects-with-OpenCV-and-Python-3

Computer Vision Projects with OpenCV and Python 3, published by Packt

cs344

Introduction to Parallel Programming class code

CSE331

CSE 331: Software Design and Implementation (taught by Michael Ernst)

Deep-Reinforcement-Learning-Hands-On

Hands-on Deep Reinforcement Learning, published by Packt

deep_impression

Deep Impression: Audiovisual Deep Residual Networks for Multimodal Apparent Personality Trait Recognition

Deep_reinforcement_learning_move_cube_robot

Deep_reinforcement_learning_my_moving_cube_robot_training

Machine-Learning-Study-Path

A complete ML study path, focused on TensorFlow and Scikit-Learn

ML_Embedded_Workshop

Machine Language workshop for XDF

reinforcement-learning

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

rllab

rllab is a framework for developing and evaluating reinforcement learning algorithms, fully compatible with OpenAI Gym.

RTSP-Client-Server

Implementation of a streaming video server and client that communicate using the Real-Time Streaming Protocol (RTSP) and send data using the Realtime Transfer Protocol (RTP)

visual-pushing-grasping

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