abbas-max's Stars
practical-tutorials/project-based-learning
Curated list of project-based tutorials
pjreddie/darknet
Convolutional Neural Networks
ashishpatel26/500-AI-Machine-learning-Deep-learning-Computer-vision-NLP-Projects-with-code
500 AI Machine learning Deep learning Computer vision NLP Projects with code
MorvanZhou/Reinforcement-learning-with-tensorflow
Simple Reinforcement learning tutorials, 莫烦Python 中文AI教学
PacktPublishing/Deep-Reinforcement-Learning-Hands-On-Second-Edition
Deep-Reinforcement-Learning-Hands-On-Second-Edition, published by Packt
udacity/CVND_Exercises
Exercise notebooks for CVND.
floodsung/DDPG
Reimplementation of DDPG(Continuous Control with Deep Reinforcement Learning) based on OpenAI Gym + Tensorflow
arunponnusamy/object-detection-opencv
YOLO Object detection with OpenCV and Python.
RoblabWh/RobLearn
ROS Robotic Deep Learning
adityaguptai/Self-Driving-Car-
A End to End CNN Model which predicts the steering wheel angle based on the video/image
jlubars/RL-MPC-LaneMerging
Combining Reinforcement Learning with Model Predictive Control for On-Ramp Merging
tobiasfshr/deep-reinforcement-learning-drone-control
A drone control system based on deep reinforcement learning with Tensorflow and ROS
savinay95n/Reinforcement-learning-Algorithms-and-Dynamic-Programming
Reinforcement learning Algorithms such as SARSA, Q learning, Actor-Critic Policy Gradient and Value Function Approximation were applied to stabilize an inverted pendulum system and achieve optimal control. So essentially, the concept of Reinforcement Learning Controllers has been established. The Reinforcement Learning Controllers have been compared on the basis of performance and efficiency and they are separately compared with the classical Linear Quadratic Regulator Controller. Each of the RL controller have been integrated with a Swing up controller. A virtual switch toggles between the Swing up controller and the RL controller automatically, based on the value of the angular deviation theta with respect to the vertical plane. My research paper and my undergraduate thesis have been uploaded for reference. All the codes have also been uploaded.
gkahn13/gcg
m5823779/DDPG
End to End Mobile Robot Navigation using DDPG (Continuous Control with Deep Reinforcement Learning) based on Tensorflow + Gazebo
adipandas/gym_multirotor
Multi-rotor Gym
inkyusa/gym_rotor
collection of rotorcrafts OpenAI gym Mujoco environments
lbrombach/practical_chapters
This repositiory contains code that accompanies each chapter of the book Practical robotics in C++.
jkulhanek/a2cat-vn
Target driven visual navigation using deep reinforcement learning implemented in Pytorch
PatrickMockridge/Udacity-Kuka-Arm-Pick-And-Place
Programming the rotation and translation matrices for a Kuka KR210 6-DOF arm to perform a basic pick and place operation in the Gazebo robot simulator
shamanez/Target-Driven-Visual-Navigation-with-Distributed-PPO
This repository has used AI2THOR CVPR data set.
bluemapleman/Maple-Reinforcement-Learning
Jupyter Notebook形式实现的强化学习算法,以及相应的实例应用gym)。(Reinforcement learning algorithms implemented using Jupyter Notebook, along with interesting applications on popular problems)
trp7ua/Machine_Learning_For_Control_Systems
Codes for ML for Control Systems Course at Georgia Tech, includes projects such as CartePole, Inverted Pendulum etc.
amin-tabrizian/Ball-and-Beam-Controll-system
This is a mechanism capable to control a ball on a beam at any desired setpoints.
eLearningHub/Static-Website
Make websites for yourself or your projects
Nadankar/Robotic_Arm
This project is a WiFi-controlled robot arm using an ESP32, programmed in C++ for real-time control via a web interface. Technologies: ESP32, C++, WebSockets, Servo Motors, HTML/CSS, JavaScript.
naddeok96/RL_Ball_and_Beam
Utilizing reinforcement learning to balance a ball at a specified location on a beam.