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batea

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  Analyzed 1 day ago

Batea is a context-driven network device ranking framework based on the anomaly detection family of machine learning algorithms. The goal of Batea is to allow security teams to automatically filter interesting network assets in large networks using nmap scan reports. We call those Gold Nuggets.

1.12K lines of code

0 current contributors

over 3 years since last commit

0 users on Open Hub

Inactive
0.0
 
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Mostly written in Python
Licenses: GNU-GPLv2
Tags anomaly-detection anomalydetection machine-learning machinelearning machinelearningalgorithm python

textteaser

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  Analyzed about 2 hours ago

TextTeaser is an automatic summarization algorithm.

578 lines of code

0 current contributors

over 7 years since last commit

0 users on Open Hub

Inactive
3.0
   
0 Reviews
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Mostly written in Scala
Licenses: mit
Tags api english machinelearning naturallanguageprocessing nlp scala spanish summarization textsummarization

WhaleMatch

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  Analyzed 1 day ago

Identifying whales by their blowhole

200 lines of code

2 current contributors

almost 5 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 computer_vision computervision machine_learning machinelearning marinebiology marinescience whale whales

graphlab.org

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  Analyzed about 22 hours ago

A framework for large-scale machine learning and graph computation. The GraphLab project started at Carnegie Mellon University in 2009 to develop a new parallel computation abstraction tailored to machine learning. GraphLab 1.0 presented our first shared memory design which, through the addition ... [More] of several matrix factorization toolkits, started to grow a community of users. In the last couple of years, we have focused our development effort on the distributed environment. In GraphLab 2.1, we completely redesign of the GraphLab 1 framework for the distributed environment. The implementation is distributed by design and a "shared-memory" execution is essentially running a distributed system on a cluster of a single machine [Less]

97.9K lines of code

0 current contributors

about 9 years since last commit

0 users on Open Hub

Inactive
0.0
 
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Mostly written in C++
Licenses: No declared licenses
Tags algorithms analytics classifiers machinelearning

fiftyone

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  Analyzed about 5 hours ago

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

303K lines of code

0 current contributors

about 11 hours since last commit

0 users on Open Hub

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

TinyClassifier

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  Analyzed about 15 hours ago

a tiny machine learning library for scripting

1.65K lines of code

0 current contributors

almost 14 years since last commit

0 users on Open Hub

Inactive
0.0
 
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Mostly written in C++
Licenses: No declared licenses
Tags c++ classification machine-learning machinelearning swig

SequenceAlpha

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  Analyzed 1 day ago

G-Quadruplex prediction & classification tools.

1.95K lines of code

0 current contributors

over 11 years since last commit

0 users on Open Hub

Inactive
0.0
 
0 Reviews
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Mostly written in Python
Licenses: BSD-3-Clause
Tags bioinformatics dna machinelearning prediction sequenceanalysis

loom-engine

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  Analyzed 1 day ago

Streaming cross-cat inference engine

15.9K lines of code

0 current contributors

almost 11 years since last commit

0 users on Open Hub

Inactive
0.0
 
0 Reviews
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Mostly written in C++
Licenses: BSD-3-Clause
Tags ai analysis bayesian bayesianinference gibbssampling hierarchicalmodels inference machinelearning mcmc nonparametric prediction

Savant

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  No analysis available

Python Computer Vision & Video Analytics Framework With Batteries Included

0 lines of code

0 current contributors

0 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: apache_2
Tags artificial_intelligence artificialintelligence computervision CUDA deep-learning deep_learning deeplearning deepstream machinelearning neuralnetworks objecttracking opencv 3 more...

Auctus

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  Analyzed about 21 hours ago

Dataset search engine, discovering data from a variety of sources, profiling it, and allowing advanced queries on the index such as augmenting an existing dataset.

26.5K lines of code

2 current contributors

4 months since last commit

0 users on Open Hub

Very Low Activity
0.0
 
0 Reviews
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Mostly written in Python
Licenses: BSD-3-Clause
Tags data-augmentation database datamart datasets join machine-learning machine_learning machinelearning