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A list of topics of interest, including AI, Robotics, Physics, Mathematics, Control and some useful tools in these areas.

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Basic theoryLearningRoboticsProgrammingPlatformsToolsWebsites

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What's inside

Learning

Basic theory

  • AI book library

    The hundred-page machine learning book with code.

  • Ceres

    An open-source C++ library for modeling and solving large, complicated optimization problems. There are binding tools for Python to use Ceres. It is

  • CVXOPT

    A free Python software package for convex optimization.

  • cvxpy

    A Python-embedded modeling language for convex optimization problems. It allows you to express your problem in a natural way that follows the math, rather than in the restrictive standard form required by solvers.

  • Dive into deep learning

    A useful tool book for deep learning and implementation. There is a tutorial course with video for this book.

  • Eigen

    A C++ tool for matrix operation.

Programming

Tools

  • Clipchamp

  • COLMAP

    A general-purpose Structure-from-Motion (SfM) and Multi-View Stereo (MVS) pipeline with a graphical and command-line interface, which is very useful for SLAM.

  • evo

    A tool for evaluating and comparing the trajectory output of odometry and SLAM algorithms.

  • IsaacLab

    A GPU-accelerated, open-source simulation framework designed to unify and simplify robotics research workflows, such as reinforcement learning, imitation learning, and motion planning. It includes a diverse collection of robots, from manipulators, quadrupeds, to humanoids, with more than 16 commonly available models.

  • Jackal Robot simulation platform

    A simulator for mobile robots.

  • MatrixCalculus

    An online tool that computes vector and matrix derivatives (matrix calculus).

Websites

Showing a sample of 80 resources. View the full list on GitHub →