Rekomendasi tempat wisata dengan algoritma content-based filtering

Dynamic chess piece movement simulator using Control Lyapunov Functions (CLF) and Control Barrier Functions (CBF). Focused on path planning and obstacle avoidance, it explores non-traditional chess movements for robotics and game theory applications

Creatng LeapFrog CBFs with Rust

Job Recommendation with Content-Based Filtering & K-Nearest Neighbors.

This repository showcases a control barrier function approach for ensuring vehicle safety. This approach does not require any trajectory or path planning

Construindo API dos jogos, rodadas e classificação do campeonato Brasileiro de futebol com Spring Boot

Scripts for computing metrics from ciliary motion.

Simple tool to read and analyze existing GISAXS data

Learner-Verifier Framework for formal synthesis of Control Barrier Functions (CBF).

Library that allows to write data in accordance with CNTK Binary Format

CrudBooster 5.4 versi modifikasi dari team SenTris dengan Laravel ~> 6.0

Sistem rekomendasi yang dibangun merupakan aplikasi berbasis web yang menggunakan bahasa pemrograman Python, HTML, CSS, Javascripts, Framework Bootstrap dan Django. DBMS yang digunakan adalah Neo4J berbasis graph database dengan menggunakan query Cypher. Data yang digunakan yaitu dataset movie recommender. Sistem ini memiliki 4 menu utama yaitu …

Coverage control with CBF for collision avoidance on Gazebo RaspberryPiMouse simulator.

Dectris Eiger ZeroMQ to CBF Writer

"CBF-LLM: Safe Control for LLM Alignment"

Control barrier functions implemented through python via pybullet.

MPC with trust-based CBF constraints for safe robot navigation of autonmous systems

Quantitative MRI toolbox in Python

Implementation of the Online Adaptive CBF for safety-critical navigation for input constrained systems.

The Visibility-Aware RRT* implementation for safety-critical navigation with perception-limited robots.