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acado

ACADO Toolkit is a software environment and algorithm collection for automatic control and dynamic optimization. It provides a general framework for using a great variety of algorithms for direct optimal control, including model predictive control, state and parameter estimation and robust optimization.

acados

Fast and embedded solvers for nonlinear optimal control

acrovr

acrovr_pedagological

alphazero-in-unity

Several board game AI, which are trained based on AlphaZero, used in a Unity game.

articleoptimizationstatique

autodiff

automatic differentiation made easier for C++

back_in_the_game

Software that assists clinicians in assessing whether a player is ready for a return to the game

banque_stages

bioptim

A Python optimization framework that links CasADi, ipopt and biorbd for Optimal Control Problem

bioptim-feedstock

A conda-smithy repository for bioptim.

bioptim-tutorial

This is the mybinder.org tutorial for bioptim

bioptim_gui

A gui to create and launch bioptim optimization program

bioptimpaperexamples

This repository hosts the bioptim examples of the associated paper

biorbd

C++ interface and add-ons to the RigidBody Dynamics Library

biorbd-feedstock

A conda-smithy repository for biorbd.

biorbd-tutorial

This is the repository for the binder Python tutorial for biorbd

biorbd-viz-feedstock

A conda-smithy repository for biorbd-viz.

biorbd_design

bioviz

Pyomeca visualization toolkit

blue_maestro_ble

This is an interface to reactive_ble for flutter that works with Blue Maestro device

casadi

CasADi is a symbolic framework for numeric optimization implementing automatic differentiation in forward and reverse modes on sparse matrix-valued computational graphs. It supports self-contained C-code generation and interfaces state-of-the-art codes such as SUNDIALS, IPOPT etc. It can be used from C++, Python or Matlab/Octave.

casadi-feedstock

A conda-smithy repository for casadi.

cf-mark-broken

cmake

Mirror of CMake upstream repository

computeam

conda_recipes

cppad

A C++ Algorithmic Differentiation Package: Home Page

crcrme_flutter_template

This is the official visual Flutter template for the CR-CRME

deepreinforcementlearning

A replica of the AlphaZero methodology for deep reinforcement learning in Python