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Big Data Analytics Lab @ UMBC's Projects

autodist icon autodist

Simple Distributed Deep Learning on TensorFlow

big-data-reu icon big-data-reu

Repository for the Online Interdisciplinary Big Data Analytics in Science and Engineering REU (Research Experience for Undergraduates) Site program at UMBC. More at https://bigdatareu.umbc.edu/

concord-bft icon concord-bft

Concord byzantine fault tolerant state machine replication library

cybertraining icon cybertraining

Multidisciplinary Research and Education on Big Data + High-Performance Computing + Atmospheric Sciences at UMBC

earth_ai_book_materials icon earth_ai_book_materials

The repo contains all the source code, notebooks, and technical resources that assist students to read the book Artificial Intelligence in Earth Science.

edask icon edask

Earth data analytics using the Dask / XArray toolkit.

femad icon femad

Flexible and Efficient MODIS data Aggregation and Distribution

iot-database-benchmarking icon iot-database-benchmarking

This code was developed as part of research conducted at the UMBC Big Data lab. The purpose of this work is to develop a framework which can benchmark new generation of databases for IoT data. This is an Open Source which can be used freely.

mpi_pi icon mpi_pi

Calculate PI using MPI with 3 different methods

pytorch-gan icon pytorch-gan

PyTorch implementations of Generative Adversarial Networks.

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