Open Tutorials and Documents

Open Tutorials

• Programming Meets Mathematics (a.k.a. Python Meets Mathematics)
  • A basic tutorial on Python and examples to promote mathematical understanding and applications using NumPy, Matplotlib, and SciPy
• ML and DL Tutorial
  • A short tutorial on machine learning and deep learning with with scikit-learn and PyTorch
• Computer Vision Tutorial
  • An introductory tutorial on computer vision with OpenCV
• An Intuitive Tutorial on Bayesian Filtering
  • An intuitive tutorial on Bayesian filtering such as Kalman filter, EKF, UKF, and particle filter with FilterPy
  • The tutorial examples mainly focuses on localization and SLAM in robotics.
• An Invitation to 3D Vision: A Tutorial for Everyone
  • An introductory tutorial on 3D vision theories and applications using OpenCV
  • This tutorial is my first tutorial started from 2016.

Open Documents

• MINT Lab’s Know-where
  • A collection of useful links on programming, machine learning, mathematics, robotics and computer vision
• Awesome Robotics Datasets
  • A collection of useful datasets for robotics and computer vision
• MINT Lab 찾아오는 방법
  • A brief guidance how to visit MINT Lab written in Korean