elebaid

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.

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"

UAV_FSO_RF_DRL

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/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/drl-based-mapless-crowd-navigation-with-perceived-risk

Deep Reinforcement Learning Based Crowd Navigation with Perceived Risk of the Moving Crowd for Mobile Robots

elebaid/dronekit-python

DroneKit-Python library for communicating with Drones via MAVLink.

elebaid/dynamic_obstacle_avoidance

Closed-Form Algorithm for Dynamic Obstacle Avoidance

elebaid/Fast-Planner

A Robust and Efficient Trajectory Planner for Quadrotors

elebaid/MARL-Papers

Paper list of multi-agent reinforcement learning (MARL)

elebaid/MARL-UAVs-Targets-Tracking

Attempt to reproduce and improve the implementation of the paper 'Improving Multi-Target Cooperative Tracking Guidance for UAV Swarms Using Multi-Agent Reinforcement Learning'.

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/off-policy

PyTorch implementations of popular off-policy multi-agent reinforcement learning algorithms, including QMix, VDN, MADDPG, and MATD3.

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/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/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/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.