Rekomendasi tempat wisata dengan algoritma content-based filtering
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Updated
Aug 3, 2021 - CSS
Rekomendasi tempat wisata dengan algoritma content-based filtering
Library that allows to write data in accordance with CNTK Binary Format
MPC with trust-based CBF constraints for safe robot navigation of autonmous systems
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 …
Scripts for computing metrics from ciliary motion.
Job Recommendation with Content-Based Filtering & K-Nearest Neighbors.
CrudBooster 5.4 versi modifikasi dari team SenTris dengan Laravel ~> 6.0
Simple tool to read and analyze existing GISAXS data
This repository showcases a control barrier function approach for ensuring vehicle safety. This approach does not require any trajectory or path planning
Control barrier functions implemented through python via pybullet.
Construindo API dos jogos, rodadas e classificação do campeonato Brasileiro de futebol com Spring Boot
Quantitative MRI toolbox in Python
"CBF-LLM: Safe Control for LLM Alignment"
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
CBF 🦥is a simple CLI tool for developers who can't be f#@!'d learning or remembering all the commands they have to run day to day or just in a specific repo
Implementation of the Online Adaptive CBF for safety-critical navigation for input constrained systems.
Learner-Verifier Framework for formal synthesis of Control Barrier Functions (CBF).
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