Name: Benjamin Ellenberger
Type: User
Company: IDSC.io
Bio: Data Scientist @ IDSC Insel University Hospital, PhD in the Comp. Neuro. Group of Walter Senn at Uni Bern, personally on Google @bulletphysics @brax and Deep-RL
Location: Bern, Switzerland
Benjamin Ellenberger's Projects
A series of tools to model relationships between auditory stimuli and neural activity
Template to automatically build LaTeX documents with GitHub
Awesome biologically plausible neural networks reading list.
My github.io page.
Massively parallel rigidbody physics simulation on accelerator hardware.
Experimental (stable, go here: https://github.com/benelot/pybullet-gym) repository of OpenAI Gym environments implemented with Bullet Physics using pybullet.
Bullet 2.x official repository with optional experimental Bullet 3 GPU rigid body pipeline
Caffe: a fast framework for deep learning. For the most recent version checkout the dev branch. For the latest stable release checkout the master branch.
3d cartpole gym env using bullet physics trained from pixels with LRPG, DDPG & NAF
A skin based on the default GWEN GUI skin for CEGUI.
Generates video game music using neural networks.
Understanding computation in artificial and biological recurrent networks through the lens of dynamical systems.
Using multiple imputation and bayesian variable selection to get inclusion probabilities in order to propose evidence-based diagnostic paths.
Bitnami container images
minimal crawlers for scraping recipes from various recipe sites
A logical, reasonably standardized, but flexible project structure for doing and sharing data science work.
Cookiecutter template for a Python package.
Data driven documents for Java (Some initial classes for it).
Reimplementation of DDPG(Continuous Control with Deep Reinforcement Learning) based on OpenAI Gym + Tensorflow
Theano-based implementation of Deep Q-learning
The original code from the DeepMind article + my tweaks
Collection of Docker images with headless VNC environments
Backup Minio to local filesystem with periodic backups and rotate backups.
A collection of Dockerfiles to build practical, containerized workspaces.
An implementation of Deep Q-Network using Caffe
Source to www.draw.io
Automatically exported from code.google.com/p/dynamica
:email: Email reply parser library for Python