jacobian

Robotics Toolbox for Python

Robotics Toolbox for MATLAB

Robot kinematics implemented in pytorch

Rust numeric library with high performance and friendly syntax

A Tutorial on Manipulator Differential Kinematics

RPDC : This contains all my MATLAB codes for the Robotics, Planning, Dynamics and Control . The implementations model various kinds of manipulators and mobile robots for position control, trajectory planning and path planning problems.

The fastest automatic differentiation library for C++, with Python bindings. Forward, adjoint and higher-order derivatives, checkpointing, Eigen support and JIT. Reproducible benchmarks against CppAD, Adept and autodiff.

For an education purpose, from-scratch, single-file, python-only pose-graph optimization implementation

{KFAC,EKFAC,Diagonal,Implicit} Fisher Matrices and finite width NTKs in PyTorch

Calculation of forward and inverse kinematics, Jacobian matrices, dynamic modeling, trajectory planning and geometric calibration for robotic manipulators

A differentiable physics engine and multibody dynamics library for control and robot learning.

This Repository contains Solutions to the Quizes & Lab Assignments of the Mathematics for Machine Learning Specialization offered by Imperial College of London on Coursera taught by David Dye, Samuel J. Cooper, A. Freddie Page, Marc Peter Deisenroth

ODE solver library in Rust

Weekly MATLAB exercises of the course "Robot Dynamics", ETH Zürich (Fall 2020).

Inverse Kinematics package for Unity, featuring multiple solvers, joint limits and procedural animation samples.

A collection of gradient-domain light transport algorithms implemented with Mitsuba

A simple domain-specific language (DSL) for defining differential equations for use in scientific machine learning (SciML) and other applications

Efficient forward- and reverse-mode sparse Jacobians using Jax

Fast operator-overloading Jacobian & Hessian sparsity pattern detection.

Automatic Sparse Differentiation in JAX.