#
NekSfyris
Follow
Starred repositories
Common used path planning algorithms with animations.
Open source software for autonomous drones.
This is the github Repository that belongs to the lecture "Artificial Intelligence in Automotive Technology" from the Institute of Automotive Technology of the Technical University of Munich
OpenCV Python Image Processing Examples used for Teaching
Repository for Safe Low Altitude Navigation in steep terrain for fixed-wing Aerial Vehicles
PLVS is a real-time SLAM system with points, lines, volumetric mapping and 3D unsupervised incremental segmentation.
Tutorial on pose graph optimization using g2o
SAM-PT: Extending SAM to zero-shot video segmentation with point-based tracking.
SOTA Re-identification Methods and Toolbox
Some Python Implementations of the Kalman Filter
BoxMOT: pluggable SOTA tracking modules for segmentation, object detection and pose estimation models
The world's largest GitHub Repository for LLMs + Robotics
Multi-Modal Sensor Fusion and Object Tracking for Autonomous Racing
A useful collection of CPP and PYTHON examples to learn ROS2 from zero
🧑🏫 60 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gan…
Developing a maze solving robot in ROS2 that leverages information from a drone or Satellite's camera using OpenCV algorithms to find its path to the goal and solve the maze. :)
Python implementation of Visual Odometry algorithms from http:https://rpg.ifi.uzh.ch/
A fast and lightweight interactive terminal based UI application for tracking cryptocurrencies 🚀
A JavaScript / TypeScript / Python / C# / PHP cryptocurrency trading API with support for more than 100 bitcoin/altcoin exchanges
visualize financial microstructure 📈 & debug trading bots 🤖
A cryptocurrency arbitrage opportunity calculator. Over 800 currencies and 50 markets.
Simple connector to Binance Public API
Repository for the textbook: Small Unmanned Aircraft: Theory and Practice, by Randy Beard and Tim McLain
Gathers machine learning and deep learning models for Stock forecasting including trading bots and simulations