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brooklyn-bikes

Term project

computational_neuroscience

Everything comp neuro

gpurunner

intro-to-rl

Code exercises from Reinforcement Learning by Sutton and Barto

jraph

A Graph Neural Network Library in Jax

madrona_rl_envs

neuroanalysis

Assignments for the Neuro-analysis course 2021

nocturne

A data-driven, fast driving simulator for multi-agent coordination under partial observability.

open_spiel

OpenSpiel is a collection of environments and algorithms for research in general reinforcement learning and search/planning in games.

prisoners-dilemma

python_for_datascience

This contains all the links to colab notebooks used in the Python for Data Science Bootcamp by Turing Students Rotterdam.

robot-league

tme

This code package is for the Tensor-Maximum-Entropy (TME) method. This method generates random surrogate data that preserves a specified set of first and second order marginal moments of a data tensor, which makes it well equipped to test for the null hypothesis that a structure in data is an epiphenomenon of these specified set of primary features of the data tensor. The random surrogate data are sampled from a maximum entropy distribution. This distribution unlike traditional maximum entropy method have constraints on the marginal first and second moments of the tensor mode.

waymax

A JAX-based simulator for autonomous driving research.