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FileMap (deleted)

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  Analyzed 12 months ago

FileMap: File-Based Map-ReduceFileMap is a file-based map-reduce system for data-parallel computation. See the FileMap Website for more information.

3.12K lines of code

0 current contributors

about 4 years since last commit

0 users on Open Hub

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0.0
 
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sfw-wiki

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  Analyzed 12 months ago

Federated Wiki client and server in Node.js

178 lines of code

0 current contributors

about 9 years since last commit

0 users on Open Hub

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0.0
 
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dsah

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  No analysis available

distributed backup tool for a messy environment

0 lines of code

0 current contributors

0 since last commit

0 users on Open Hub

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0.0
 
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Mostly written in language not available
Licenses: gpl3

HxCAS

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  Analyzed 12 months ago

Hexcore Cellular Automata Simulator and Editor

23.4K lines of code

0 current contributors

over 11 years since last commit

0 users on Open Hub

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0.0
 
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Licenses: No declared licenses

veles

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  Analyzed 12 months ago

Distributed machine learning platform. Distributed platform for rapid Deep learning application development Consists of: Platform - https://github.com/Samsung/veles Znicz Plugin - Neural Network engine Mastodon - Veles Java bridge for Hadoop etc. SoundFeatureExtraction - audio feature ... [More] extraction library Written on Python, uses OpenCL or CUDA, employs Flow-Based Programming, under Apache 2.0. 1 Deploy VELES on Notebook or Cluster with a single command 2 Create the model from >250 optimized units 3 Analyze and serve the dataset on the go using Loaders 4 Train it on PC or High Performance Cluster Interactively monitor the training process 5 Publish the results 6 Automatically extract the trained model as an application 7 Run it in the cloud [Less]

68.8K lines of code

0 current contributors

about 1 year since last commit

0 users on Open Hub

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0.0
 
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Apache SystemML

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Claimed by Apache Software Foundation Analyzed 12 months ago

Declarative large-scale machine learning (ML) that aims at flexible specification of ML algorithms and automatic generation of hybrid runtime plans ranging from single-node, in-memory computations, to distributed computations on Apache Hadoop and Apache Spark. ML algorithms are expressed in an ... [More] R-like or Python-like syntax that includes linear algebra primitives, statistical functions, and ML-specific constructs. This high-level language significantly increases the productivity of data scientists as it provides (1) full flexibility in expressing custom analytics, and (2) data independence from the underlying input formats and physical data representations. Automatic optimization according to data and cluster characteristics ensures both efficiency and scalability. [Less]

1.91M lines of code

7 current contributors

12 months since last commit

0 users on Open Hub

Activity Not Available
0.0
 
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AsyncWcfLib

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  No analysis available

AsyncWcfLib is a software library for distributed computing based on Microsoft WCF. AsyncWcfLib is a lightweight message bus bridging Windows and Linux by using the .NET Framework or Mono. It supports callback based asynchrony as well as the new async-await pattern available in .NET 4.5,

0 lines of code

0 current contributors

0 since last commit

0 users on Open Hub

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0.0
 
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Mostly written in language not available
Licenses: mit

incubator-singa

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  Analyzed 12 months ago

SINGA is a general distributed deep learning platform for training big deep learning models over large datasets. It is designed with an intuitive programming model based on the layer abstraction. A variety of popular deep learning models are supported, namely feed-forward models including ... [More] convolutional neural networks (CNN), energy models like restricted Boltzmann machine (RBM), and recurrent neural networks (RNN). Many built-in layers are provided for users. SINGA architecture is sufficiently flexible to run synchronous, asynchronous and hybrid training frameworks. SINGA also supports different neural net partitioning schemes to parallelize the training of large models, namely partitioning on batch dimension, feature dimension or hybrid partitioning. [Less]

85.8K lines of code

28 current contributors

about 1 year since last commit

0 users on Open Hub

Activity Not Available
0.0
 
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celery-tryton

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  Analyzed 12 months ago

Celery integration with Tryton

177 lines of code

0 current contributors

over 6 years since last commit

0 users on Open Hub

Activity Not Available
0.0
 
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FRSH/FORB

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  No analysis available

FRSH/FORB is a contract-based resource reservation framework for distributed real-time applications.

0 lines of code

0 current contributors

0 since last commit

0 users on Open Hub

Activity Not Available
0.0
 
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Mostly written in language not available
Licenses: No declared licenses