Stars
A recurrent network-based neural population codes to implement sampling-based inference to approximate posterior.
API to access OpenAI Gym from other languages via HTTP
Reinforcement learning environments with musculoskeletal models
Python code for "Probabilistic Machine learning" book by Kevin Murphy
Probabilistic Modeling Toolkit for Matlab/Octave.
Synaptic Plasticity with Online Reinforcement learning
Humanoid walking controller with various baseline methods
Docker for everyday deep learning research on a remote server. (Tensorflow & Pytorch / Jax + VNC)
This example is the reference model to be used by participants of the MathWorks Minidrone Competition.
PyBullet Gymnasium environments for single and multi-agent reinforcement learning of quadcopter control
Connect SpiNNaker with ROS and use transfer functions to convert between live spikes and ROS values.
Sampling based Model Predictive Control package for Model-Based RL research
A Spiking Model Of Goal Directed Behaviour
This repository will help you create a spiking neural network which structure represents a constraint satisfaction problem and which dynamics implements a stochastic search to solve it.
PythonLinearNonLinearControl is a library implementing the linear and nonlinear control theories in python.
Simple and easily configurable grid world environments for reinforcement learning
Meta-Learning through Hebbian Plasticity in Random Networks: https://arxiv.org/abs/2007.02686