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deep-admm-net

deep-unimodal-ordinal

deepkoopman

neural networks to learn Koopman eigenfunctions

deepst

Deep Learning for Spatio-Temporal Data

deep_rewiring

Quick tutorial to Deep Rewiring

densefusion

"DenseFusion: 6D Object Pose Estimation by Iterative Dense Fusion" code repository

differentiable-mpc

directional-grid-maps

Modeling directions

discriminative-kalman-filter

companion code for "The Discriminative Kalman Filter for Bayesian Filtering with Nonlinear and Nongaussian Observation Models"

dpi-net

[ICLR 2019] Learning Particle Dynamics for Manipulating Rigid Bodies, Deformable Objects, and Fluids

dynamicgem

eeg-classification

This project was a joint effort with the neurology labs at UNL and UCD Anschutz to use deep learning to classify EEG data.

eeg-datasets

A list of all public EEG-datasets

eeg-processing-toolbox

Matlab code for proccesing EEG signals.

eeglearn

A set of functions for supervised feature learning/classification of mental states from EEG based on "EEG images" idea.

explore-exploit

Data and code for "Sources of suboptimality in a minimalistic explore-exploit task"

fishernet

Codes for our paper Deep FisherNet.

form2fit

Train generalizable policies for kit assembly with self-supervised dense correspondence training.

frustum-pointnets

Frustum PointNets for 3D Object Detection from RGB-D Data

fusion2018

Matlab code used for the paper "Unscented Kalman Filtering on Lie Groups for Fusion of IMU and Monocular Vision"

g3py

g3py: Generalized Graphical Gaussian Processes

gcn

Implementation of Graph Convolutional Networks in TensorFlow

gem

generative-models

Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.

generativefacecompletion

The source code of CVPR17 'Generative Face Completion'.

geograsp

Geometry-based method for computing grasping points on 3D point clouds

ggp

Code and data for the paper `Bayesian Semi-supervised Learning with Graph Gaussian Processes'

gn.pytorch

gpis

Basic implementation of a Gaussian Process Implicit Surface Method. This can be used to create continous rerepesentation of object with complex geometries in 3D with variances.

gpis-1

Work on Gaussian Process Implicit Surfaces