Toolbox for IBP Coupled SPCM-CRP Hidden Markov Model. Also contains code for EM-based HMM learning and inference for Bayesian non-parametric HDP-HMM and IBP-HMM.
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Updated
Mar 21, 2019 - MATLAB
Toolbox for IBP Coupled SPCM-CRP Hidden Markov Model. Also contains code for EM-based HMM learning and inference for Bayesian non-parametric HDP-HMM and IBP-HMM.
Python-based sample code for using external forecast APIs that are part of SAP IBP for Supply Chain.
Bayesian Structure Adaptation for Continual Learning. A non-parametric Bayesian approach on continual learning that learns the sparse deep substructure for each task by selecting weights to be used by the deep neural network.
FeynHelpers is a collection of intefaces that allow you to use other HEP-related tools from your FeynCalc session
This repository contains the source code and data for reproducing results of "Weakly Supervised Learning of Objects, Attributes and their Associations", ECCV 2016 paper.
A repository about Robust Deep Neural Networks with Uncertainty, Local Competition and Error-Correcting-Output-Codes in TensorFlow.
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