Entropy for Python

A lightweight implementation of Walklets from "Don't Walk Skip! Online Learning of Multi-scale Network Embeddings" (ASONAM 2017).

pycaffe version of RSA 'Recurrent Scale Approximation for Object Detection in CNN'

A framework for developing multi-scale arrays for use in scientific computing packages

Multigrid Neural Architecture

Object-Oriented Perl 5, Moose Library for Molecular Hacking

Inspired by the convolutional recurrent neural network(CRNN) and inception, we propose a multiscale time-frequency convolutional recurrent neural network (MTF-CRNN) for audio event detection. Our goal is to improve audio event detection performance and recognize target audio events that have different lengths and accompany the complex audio background. We exploit multi-groups of parallel and serial convolutional kernels to learn high-level shift invariant features from the time and frequency domains of acoustic samples. A two-layer bi-direction gated recurrent unit) based on the recurrent neural network is used to capture the temporal context from the extracted high-level features. The proposed method is evaluated on the DCASE2017 challenge dataset. Compared to other methods, the MTF-CRNN achieves one of the best test performances for a single model without pre-training and without using a multi-model ensemble approach.

Scalable Insets for HiGlass: a new technique for interactively exploring and navigating large numbers of annotated patterns in multiscale visual spaces such as gigapixel images, matrices, or maps.

Multiscale Modeling

Multiscale Entropy with Python

FFT-based Homogenization

The concurrent atomistic-continuum simulation environment

Shallow Water Equations for RelatiVistic Environments

App for the visualization of grain growth using Cellular Automata, Monte carlo and MC static recrystallization algorithms

Charm is a python package to implement Characterization of reflectors and modeling

Project for fitting a multiscale model as described in Kolaczyk et al 2000.

Implementation of the Generalized Multiscale Finite Element Method (GMsFEM) for solution problems in heterogeneous or/and perforated media based on the system representation (fvm or fem fine grid approximation)

A multiscale QSP model of IFN-alpha induced activation of the JAK/STAT pathway in human liver cells (Kalra et al., 2019)

Implementation of the Generalized Multiscale Finite Element Method (GMsFEM) for solution problems in heterogeneous media with finite volume approximation on the fine grid

Build multiscale graph where nodes are regions (City, State, Country, Continent) for convid19 simulation. Graph structure (within-scale and across-scale) and node initial static properties (centroids, population, #airports, #train station, #ferry ports) can be built.

We prove continuity of the limit distribution function of certain multiscale test statistics which are used in nonparametric curve estimation.