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mq-jonathan-xu's Projects

dataset_plateun01 icon dataset_plateun01

CONCEPT is a dataset of lamb-wave measured in composite structures in healthy and damaged states. This experiment was conducted at the SHM Lab from UNESP Ilha Solteira.

deepgp icon deepgp

Deep Gaussian Processes in matlab

deeplstm icon deeplstm

Deep LSTM for highly nonlinear system modeling

deeptime icon deeptime

PyTorch code for DeepTime: Deep Time-Index Meta-Learning for Non-Stationary Time-Series Forecasting

detectron icon detectron

FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.

dfsre-lib icon dfsre-lib

Distributed Feature Selection Ranker Ensemble library

dgp-irl icon dgp-irl

Deep Gaussian Process for Inverse Reinforcement Learning

discon_simulink icon discon_simulink

Tool to compile a Bladed style DLL controller from Simulink for use in OpenFAST or Bladed

discriminative-kalman-filter icon discriminative-kalman-filter

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

dugh-neurips-2021 icon dugh-neurips-2021

This repo contains the code for the paper "Efficient hierarchical Bayesian inference for spatio-temporal regression models in neuroimaging" that has been accepted to NeurIPS 2021.

dynonet icon dynonet

"dynoNet: A neural network architecture for learning dynamical systems" by Marco Forgione and Dario Piga

efficient-gp-regression-via-kalman-filtering icon efficient-gp-regression-via-kalman-filtering

Code to implement efficient spatio-temporal Gaussian Process regression via iterative Kalman Filtering. KF is used to resolve the temporal part of the space-time process while, standard GP regression is used for the spatial part

fastsbl icon fastsbl

A fast sparse Bayesian learning algorithm based on gaussian scale mixture model for regression problem

freia icon freia

Framework for Easily Invertible Architectures

gama icon gama

GPU-Accelerated Motion Amplification

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