lrozo Goto Github PK
Name: Leonel Rozo
Type: User
Company: Bosch Center for Artificial Intelligence
Location: Renningen, Germany
Name: Leonel Rozo
Type: User
Company: Bosch Center for Artificial Intelligence
Location: Renningen, Germany
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.
A curated list of awesome Machine Learning frameworks, libraries and software.
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"
Topic Models with Dirichlet-multinomial Regression
A planning, control, and analysis toolbox for nonlinear dynamical systems. Please see the WIKI for documentation.
Geometric loss functions between point clouds, images and volumes
Computations and statistics on manifolds with geometric structures.
Riemannian Adaptive Optimization Methods with pytorch optim
Matlab implementations of Gaussian processes and other machine learning tools.
Gaussian Process Optimization using GPy
Implemented ML algorithms in hyperbolic geometry (MDS, K-Means, Support vector machines, etc.)
Communication and controls library for Barrett products
A recreation of the Lorentz embeddings paper from ICML 2018 (Nickel 2018)
MATLAB example code of manipulability transfer approach using GMM/GMR over SPD manifold
Python library for Reinforcement Learning experiments.
Optimal transport transforms
Web site of the Computational Optimal Transport book
Reinforcement learning environments with musculoskeletal models
PyTorch implementation of the NIPS-17 paper "Poincaré Embeddings for Learning Hierarchical Representations"
Python Optimal Transport library
Python toolbox for optimization on Riemannian manifolds with support for automatic differentiation
PyRoboLearn: a Python framework for Robot Learning
Python sample codes for robotics algorithms.
Robotics Toolbox for Python
Safe Bayesian Optimization
SeDuMi: A linear/quadratic/semidefinite solver for Matlab and Octave
Sliced Wasserstein Distance for Learning Gaussian Mixture Models
TensorForce: A TensorFlow library for applied reinforcement learning
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.