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OpenVDS

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  Analyzed 1 day ago

OpenVDS is an open-source reference implementation of a storage format for fast random access to multi-dimensional (up to 6D) volumetric data stored in an object storage cloud service (e.g. Amazon S3, Azure Blob storage or Google Cloud Storage). OpenVDS may be used to store E&P data types ... [More] such as regularized single-Z horizons/height-maps (2D), seismic lines (2D), pre-stack volumes (3D-5D), post-stack volumes (3D), geobody volumes (3D-5D), and attribute volumes of any dimensionality up to 6D. The format has been designed primarily to support random access and on-demand fetching of data, this enables applications that are responsive and interactive as well as efficient I/O for high-performance computing or machine learning workloads. OpenVDS is based on Bluware's VDS format. [Less]

102K lines of code

0 current contributors

about 2 months since last commit

2 users on Open Hub

Low Activity
0.0
 
0 Reviews
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Mostly written in C++
Licenses: apache_2
Tags aws azure bigdata blobstore c++ cloud compression datascience gcp gcs java python 2 more...

Apache DataLab (Incubating)

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  No analysis available

Self-service, Fail-safe Exploratory Environment for Collaborative Data Science Workflow

0 lines of code

3 current contributors

0 since last commit

1 users on Open Hub

Activity Not Available
0.0
 
0 Reviews
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Mostly written in language not available
Licenses: apache_2
Tags apache_spark apache_zeppelin aws azure bigdata cloud cloudcomputing data dataproc datascience deployment ec2 8 more...

lambdo

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  Analyzed about 6 hours ago

A column-oriented approach to feature engineering. Feature engineering and machine learning: together at last!

3.05K lines of code

2 current contributors

almost 5 years since last commit

1 users on Open Hub

Inactive
5.0
 
0 Reviews
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Mostly written in Python
Licenses: mit
Tags analytics artificialintelligence bigdata column-oriented concept-oriented-model datamining datascience featureengineering featureextraction forecasting machinelearning timeseriesdata

Jupyter-PHP

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  Analyzed 41 minutes ago

A PHP Kernel for Jupyter. This project enables us to use PHP inside the Jupyter Notebooks.

995 lines of code

0 current contributors

almost 8 years since last commit

1 users on Open Hub

Inactive
5.0
 
0 Reviews
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Mostly written in PHP
Licenses: mit
Tags datascience jupyter php

PyEasyMoney

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  Analyzed about 5 hours ago

Data Science Tools for Monetary Information and Conversions.

1.29K lines of code

0 current contributors

about 8 years since last commit

0 users on Open Hub

Inactive
0.0
 
0 Reviews
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Mostly written in Python
Licenses: No declared licenses
Tags datascience

polar_bear

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  Analyzed about 12 hours ago

🐼 -> cleansing -> polar bear!! ʕ·ᴥ·　ʔ

387 lines of code

4 current contributors

almost 6 years since last commit

0 users on Open Hub

Inactive
0.0
 
0 Reviews
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Mostly written in Python
Licenses: mit
Tags cleansing dataframe datascience pandas python

fiftyone

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  Analyzed about 17 hours ago

The open-source tool for building high-quality datasets and computer vision models

307K lines of code

0 current contributors

about 18 hours since last commit

0 users on Open Hub

Very High Activity
0.0
 
0 Reviews
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Mostly written in Python
Licenses: apache_2
Tags artificialintelligence computervision datascience deeplearning machinelearning python

datasciencemasters

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  Analyzed about 8 hours ago

The Open Source Data Science Masters

0 lines of code

0 current contributors

over 2 years since last commit

0 users on Open Hub

Activity Not Available
0.0
 
0 Reviews
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Mostly written in language not available
Licenses: No declared licenses
Tags datascience

mediacloud_backend

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  Analyzed 1 day ago

MediaCloud backend repository

23K lines of code

0 current contributors

almost 10 years since last commit

0 users on Open Hub

Inactive
0.0
 
0 Reviews
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Mostly written in JavaScript
Licenses: No declared licenses
Tags analytics celery datascience media nlp python rss webcrawler

Apache Spot (Incubating)

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  Analyzed 1 day ago

Apache Spot is a community-driven cybersecurity project, built from the ground up, to bring advanced analytics to all IT Telemetry data on an open, scalable platform. It is an open source software for leveraging insights from flow and packet analysis. Spot expedites threat detection, investigation ... [More] , and remediation via machine learning and consolidates all enterprise security data into a comprehensive IT telemetry hub based on open data models. Spot’s scalability and machine learning capabilities support an ecosystem of ML-based applications that can run simultaneously on a single, shared, enriched data set to provide organizations with maximum analytic flexibility. [Less]

11.3M lines of code

3 current contributors

1 day since last commit

0 users on Open Hub

Very High Activity
0.0
 
0 Reviews
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Mostly written in Java
Licenses: No declared licenses
Tags cybersecurity datascience machinelearning security spark