elebaid Goto Github PK
Type: User
Type: User
Firtst Homework for Machine Learning Course in Sapienza
Object Detection toolkit based on PaddlePaddle. It supports object detection, instance segmentation, multiple object tracking and real-time multi-person keypoint detection.
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/
Deep reinforcement learning for drone precision landing, docker container for simulation in Gazebo-ROS2 dashing/foxy with PX4-Autopilot RTPS controller.
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.
Train a quadcopter to fly with a deep reinforcement learning algorithm - DDPG
Python Implementation of Reinforcement Learning: An Introduction
Julia code for the book Reinforcement Learning An Introduction
A modular, primitive-first, python-first PyTorch library for Reinforcement Learning.
Reinforcement Learning-based exploration algorithm to drive a fleet of UAVs in an unknown environment.
Toolbox for quantitative trajectory evaluation of VO/VIO
Python implementation of various searching and sorting algorithms
Code for paper "Computation Offloading Optimization for UAV-assisted Mobile Edge Computing: A Deep Deterministic Policy Gradient Approach"
MILITARY TANK OBJECT DETECTION AND TRACKING USING UAV
Autonomous Landing of UAV on a moving base using Reinforcement Learning
This is a new repo used for training UAV navigation (local path planning) policy using DRL methods.
This is a project about deep reinforcement learning autonomous obstacle avoidance algorithm for UAV.
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.
The dataset for drone based detection and tracking is released, including both image/video, and annotations.
BoxMOT: pluggable SOTA tracking modules for segmentation, object detection and pose estimation models
YoloV7 for a Jetson Nano using ncnn.
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.