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Fabien C. Y. Benureau's Projects

bokeh icon bokeh

Interactive Web Plotting for Python

boxsim icon boxsim

python client for the playbox library

clusterjobs icon clusterjobs

small python library to handle jobs scheduling on clusters

cs228-notes icon cs228-notes

Course notes for CS228: Probabilistic Graphical Models.

dmpbbo icon dmpbbo

C++ library for Function Approximation, Dynamical Movement Primitives, and Black-Box Optimization

drop icon drop

port of sojamo's drop library to Processing 3

environments icon environments

A lightweight interface for sensorimotor environments (think: robots), compatible with the `learners` module.

explorers icon explorers

A exploration algorithm library for science

fastlearners icon fastlearners

C++ implementations of learning algorithms for the learners library

frontiers2016 icon frontiers2016

Behavioral Diversity Generation in Autonomous Exploration Through Reuse of Past Experience

goals icon goals

Goals-oriented and intrinsic motivation algorithms library for research purposes

icdl2015 icon icdl2015

Code for "Diversity-Driven Selection of Exploration Strategies in Multi-Armed Bandits"

kalman-and-bayesian-filters-in-python icon kalman-and-bayesian-filters-in-python

Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.

l2l icon l2l

Code for 'Autonomous Reuse of Motor Exploration Trajectories' article.

leabra icon leabra

Python implementation of the Leabra framework

learners icon learners

A small library for incremental learning of forward and inverse models.

miconi2016 icon miconi2016

Reimplementation for "Biologically plausible learning in recurrent neural networks for flexible decision tasks"

models icon models

Lightweight, adhoc, forward and inverse learning library.

natnet icon natnet

Python binding from raw NatNet stream

pbstut icon pbstut

Supporting files for a small tutorial on the Portable Batch System

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