Pinned Repositories
3D-Motion-Planning
3D motion planning for drones using A* search.
accel-brain-code
The purpose of this repository is to make prototypes as case study in the context of proof of concept(PoC) and research and development(R&D) that I have written in my website.
AirSim
Open source simulator for autonomous vehicles built on Unreal Engine / Unity, from Microsoft AI & Research
AUTO
I use YOLO-tiny and KF for an UAV to track and follow an object.
DAMIAN-Delay-Aware-MultI-Aerial-Navigation-DRL-based-environment-
Test PPO and SAC DRL algorithms with three different delay-aware variations of their standard versions in customizable and easily settable scenarios for cooperative multi-UAV systems.
DRL-based_UAV_Motion_Planning
code for `A Hybrid Human-in-the-Loop Deep Reinforcement Learning Method for UAV Motion Planning'
MultiUav-Collision-Prediction
Firtst Homework for Machine Learning Course in Sapienza
Practical-DRL
This is a practical resource that makes it easier to learn about and apply Practical Deep Reinforcement Learning (DRL) https://ibrahimsobh.github.io/Practical-DRL/
ReinforcementLearningAnIntroduction.jl
Julia code for the book Reinforcement Learning An Introduction
UAV-DDPG
Code for paper "Computation Offloading Optimization for UAV-assisted Mobile Edge Computing: A Deep Deterministic Policy Gradient Approach"
elebaid's Repositories
elebaid/AUTO
I use YOLO-tiny and KF for an UAV to track and follow an object.
elebaid/DAMIAN-Delay-Aware-MultI-Aerial-Navigation-DRL-based-environment-
Test PPO and SAC DRL algorithms with three different delay-aware variations of their standard versions in customizable and easily settable scenarios for cooperative multi-UAV systems.
elebaid/DRL-based_UAV_Motion_Planning
code for `A Hybrid Human-in-the-Loop Deep Reinforcement Learning Method for UAV Motion Planning'
elebaid/MultiUav-Collision-Prediction
Firtst Homework for Machine Learning Course in Sapienza
elebaid/ReinforcementLearningAnIntroduction.jl
Julia code for the book Reinforcement Learning An Introduction
elebaid/UAV-DDPG
Code for paper "Computation Offloading Optimization for UAV-assisted Mobile Edge Computing: A Deep Deterministic Policy Gradient Approach"
elebaid/accel-brain-code
The purpose of this repository is to make prototypes as case study in the context of proof of concept(PoC) and research and development(R&D) that I have written in my website.
elebaid/AirSim
Open source simulator for autonomous vehicles built on Unreal Engine / Unity, from Microsoft AI & Research
elebaid/AirSim-Drone-Racing-VAE-Imitation
Code associated with our paper "Learning Visuomotor Policies for Aerial Navigation Using Cross-Modal Representations": https://arxiv.org/abs/1909.06993
elebaid/AMSwarm
Repository associated with paper titled "AMSwarm: An Alternating Minimization Approach for Safe Motion Planning of Quadrotor Swarms in Cluttered Environments", presented at IEEE ICRA 2023.
elebaid/darknet
YOLOv4 / Scaled-YOLOv4 / YOLO - Neural Networks for Object Detection (Windows and Linux version of Darknet )
elebaid/deep-reinforcement-learning
Repo for the Deep Reinforcement Learning Nanodegree program
elebaid/dronekit-python
DroneKit-Python library for communicating with Drones via MAVLink.
elebaid/Fast-Planner
A Robust and Efficient Trajectory Planner for Quadrotors
elebaid/MARL-Papers
Paper list of multi-agent reinforcement learning (MARL)
elebaid/MIPI_Camera
elebaid/mmtracking
OpenMMLab Video Perception Toolbox. It supports Video Object Detection (VID), Multiple Object Tracking (MOT), Single Object Tracking (SOT), Video Instance Segmentation (VIS) with a unified framework.
elebaid/MOTL
Vision based Multi-object Tracking and Localization by UAV Swarm
elebaid/PaddleDetection
Object Detection toolkit based on PaddlePaddle. It supports object detection, instance segmentation, multiple object tracking and real-time multi-person keypoint detection.
elebaid/precision_landing_shaping_RL
Deep reinforcement learning for drone precision landing, docker container for simulation in Gazebo-ROS2 dashing/foxy with PX4-Autopilot RTPS controller.
elebaid/PX4-ROS2-Gazebo-YOLOv8
Aerial Object Detection using a Drone with PX4 Autopilot and ROS 2. PX4 SITL and Gazebo Garden used for Simulation. YOLOv8 used for Object Detection.
elebaid/reinforcement-learning-an-introduction
Python Implementation of Reinforcement Learning: An Introduction
elebaid/rl
A modular, primitive-first, python-first PyTorch library for Reinforcement Learning.
elebaid/RL_exploration_for_UAVs
Reinforcement Learning-based exploration algorithm to drive a fleet of UAVs in an unknown environment.
elebaid/StrongSORT
[TMM 2023] StrongSORT: Make DeepSORT Great Again
elebaid/UAV_Navigation_DRL_AirSim
This is a new repo used for training UAV navigation (local path planning) policy using DRL methods.
elebaid/VectorizedMultiAgentSimulator
VMAS is a vectorized framework designed for efficient Multi-Agent Reinforcement Learning benchmarking. It is comprised of a vectorized 2D physics engine written in PyTorch and a set of challenging multi-robot scenarios. Additional scenarios can be implemented through a simple and modular interface.
elebaid/VisDrone-Dataset
The dataset for drone based detection and tracking is released, including both image/video, and annotations.
elebaid/yolo_tracking
BoxMOT: pluggable SOTA tracking modules for segmentation, object detection and pose estimation models
elebaid/YoloV7-ncnn-Jetson-Nano
YoloV7 for a Jetson Nano using ncnn.