A curated list of awesome Machine Learning frameworks, libraries and software.

Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more

Python sample codes and textbook for robotics algorithms.

Model predictive control python toolbox

An experimental Python-to-C transpiler and domain specific language for embedded high-performance computing

A 21st century LaTeX wrapper

Optimal Motion Generation-tools: motion planning made easy

Use PyTorch Models with CasADi for data-driven optimization or learning-based optimal control. Supports Acados.

Auditing and relabeling cross-distribution Linux wheels.

Systems Identification Package for PYthon

Find and copy needed dynamic libraries into python wheels

Tensor Shape Annotation Library (numpy, tensorflow, pytorch, ...)

adam implements a collection of algorithms for calculating rigid-body dynamics in Jax, CasADi, PyTorch, and Numpy.

HILO-MPC is a Python toolbox for easy, flexible and fast development of machine-learning-supported optimal control and estimation problems

Benchmark for quadratic programming solvers available in Python

Self-contained Python wheels for Windows

Press conda packages into wheels

A Modelica to computer algebra system translator written in python.

Rigid transform using Lie groups and Dual Quaternions, written in CasADi!

Linnea is an experimental tool for the automatic generation of optimized code for linear algebra problems.

A pseudo-spectral collocation based multi-phase Optimal control problem solver

Github Mirror of https://gitlab.mech.kuleuven.be/meco-software/rockit

Python module for management of Modelica simulation files in .mat format

Plot data in real-time from arbitrary input streams (serial ports, network, files etc.)

easy-peasy optimal flight trajectory

Material Definition with Automatic Differentiation

A Python-based Trajectory Optimization Framework