aikkala

O2MConverter

OpenSim to MuJoCo XML converter

user-in-the-box

ilqr

Iterative Linear Quadratic Regulator with auto-differentiatiable dynamics models

AI-in-health-technologies-project

Project work for the AI in Healthcare course 2021

bindsnet

Simulation of spiking neural networks (SNNs) using PyTorch.

Brains

Communication between sensor inputs and CARLsim outputs

dog_skeletal_muscles

graph-digitization

Digitize graphs from images

mujoco

Multi-Joint dynamics with Contact. A general purpose physics simulator.

pcl

Point Cloud Library (PCL)

singularity_creator

Download Git projects and make them into Singularity containers with an Anaconda environment

Spiking-Neural-Network-SNN-with-PyTorch-where-Backpropagation-engenders-STDP

What about coding a Spiking Neural Network using an automatic differentiation framework? In SNNs, there is a time axis and the neural network sees data throughout time, and activation functions are instead spikes that are raised past a certain pre-activation threshold. Pre-activation values constantly fades if neurons aren't excited enough.

ubisoft-laforge-animation-dataset

Ubisoft La Forge - Animation Dataset