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acres_mpi_tutorial

MPI tutorial for the MSU ACRES REU

al-folio

A beautiful, simple, clean, and responsive Jekyll theme for academics

amazon-kinesis-analytics-beam-taxi-consumer

Sample Apache Beam pipeline that can be deployed to Kinesis Data Analytics for Java Applications. It reads taxi events from a Kinesis data stream, processes and aggregates them, and ingests the result to Amazon CloudWatch for visualization.

amuse

Astrophysical Multipurpose Software Environment. This is the main repository for AMUSE

anchor-optimization

Anchor optimization for RetinaNet.

apitest

arcgis-python-api

Documentation and samples for ArcGIS API for Python

astropy

Repository for the Astropy core package

athena-public-version

Athena++ radiation MHD code

awesome-geospatial

Long list of geospatial tools and resources

awesome-satellite-imagery-datasets

List of satellite imagery datasets with annotations for computer vision and deep learning

aws-cli

Universal Command Line Interface for Amazon Web Services

babel-sublime

Syntax definitions for ES6 JavaScript with React JSX extensions.

barnes-hut-simulator

Solving N-Body problems effectively with the Barnes-Hut-Algorithm

blender_bvoxer

Codes and blendfiles to use voxel data for scientific visualization in blender.

brei

The breivikeidet repository for report on PBL of this place.

browsinghistoryvisualization

Visualization of browsing history from Google data

caffe

Caffe: a fast open framework for deep learning.

climate

cntk

Microsoft Cognitive Toolkit (CNTK), an open source deep-learning toolkit

cometts

Comet Time Series Toolset for working with a time-series of remote sensing imagery and user defined polygons

command-line-data-analysis

A sample data file to accompany https://opensource.com/article/17/2/command-line-tools-data-analysis-linux

conv_arithmetic

A technical report on convolution arithmetic in the context of deep learning

cowc

Cars Overhead With Context related scripts described in Mundhenk et al. 2016 ECCV.

cs231n.github.io

Public facing notes page

ctlearn

Deep Learning for IACT Event Reconstruction

d2l-en

Dive into Deep Learning, Berkeley STAT 157 (Spring 2019) textbook. With code, math, and discussions.

darknet

Convolutional Neural Networks

datashader

Quickly and accurately render even the largest data.

deck.gl

WebGL2 powered geospatial visualization layers