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adhsmm

The MATLAB codes show simple examples for trajectory generation and control of a robot manipulator, which are built on an adaptive duration hidden semi-Markov model (ADHSMM). The models, algorithms and results given in these codes are part of a project aimed at learning proactive and reactive collaborative robot behaviors.

awesome-machine-learning

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

collaborativetransportation2d

The MATLAB code shows a simple collaborative transportation task carried out on a planar workspace. The models, algorithms and results given in this code are linked to the T-RO paper "Learning Physical Robot Collaborative Behaviors from Human Demonstrations"

dmr

Topic Models with Dirichlet-multinomial Regression

drake

A planning, control, and analysis toolbox for nonlinear dynamical systems. Please see the WIKI for documentation.

geomloss

Geometric loss functions between point clouds, images and volumes

geomstats

Computations and statistics on manifolds with geometric structures.

geoopt

Riemannian Adaptive Optimization Methods with pytorch optim

gpmat

Matlab implementations of Gaussian processes and other machine learning tools.

gpyopt

Gaussian Process Optimization using GPy

hyperbolic-learning

Implemented ML algorithms in hyperbolic geometry (MDS, K-Means, Support vector machines, etc.)

libbarrett

Communication and controls library for Barrett products

lorentz_embeddings_recreation

A recreation of the Lorentz embeddings paper from ICML 2018 (Nickel 2018)

manipulabilitytracking

manipulabilitytransfer

MATLAB example code of manipulability transfer approach using GMM/GMR over SPD manifold

mushroom-rl

Python library for Reinforcement Learning experiments.

optimaltransport

Optimal transport transforms

optimaltransport.github.io

Web site of the Computational Optimal Transport book

osim-rl

Reinforcement learning environments with musculoskeletal models

poincare-embeddings

PyTorch implementation of the NIPS-17 paper "Poincaré Embeddings for Learning Hierarchical Representations"

pot

Python Optimal Transport library

pymanopt

Python toolbox for optimization on Riemannian manifolds with support for automatic differentiation

pyrobolearn

PyRoboLearn: a Python framework for Robot Learning

pythonrobotics

Python sample codes for robotics algorithms.

robotics-toolbox-python

Robotics Toolbox for Python

safeopt

Safe Bayesian Optimization

sedumi

SeDuMi: A linear/quadratic/semidefinite solver for Matlab and Octave

swgmm

Sliced Wasserstein Distance for Learning Gaussian Mixture Models

tensorforce

TensorForce: A TensorFlow library for applied reinforcement learning