FeynHelpers is a collection of intefaces that allow you to use other HEP-related tools from your FeynCalc session

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.

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.

A repository about Robust Deep Neural Networks with Uncertainty, Local Competition and Error-Correcting-Output-Codes in TensorFlow.

R Shiny visualizations of projections of Social Security under different reforms

Python-based sample code for using external forecast APIs that are part of SAP IBP for Supply Chain.

Programs to read transport durations from an ERP system, train an ML model, predict transport lead times, and write them to an IBP system.

This repository contains the source code and data for reproducing results of "Weakly Supervised Learning of Objects, Attributes and their Associations", ECCV 2016 paper.

R Shiny visualizations of projections of incomes under different Social Security reforms