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JGDMS

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  Analyzed about 11 hours ago

Infrastructure for providing secured micro services, that are dynamically discoverable and searchable over ipv6 networks

2.07M lines of code

5 current contributors

5 months since last commit

0 users on Open Hub

Very Low Activity
0.0
 
0 Reviews
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Mostly written in Java
Licenses: No declared licenses
Tags distributed_systems microservices scalable security

scalejs

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  Analyzed 1 day ago

Scalable JavaScript Applications framework for .Net developers. The framework is targeted towards a .Net developer who has experience with Silverlight or WPF and is looking for ways to apply same principles and patterns (e.g. MVVM, bindings, modularization, templated controls, reactive ... [More] programming, etc.) to JavaScript client side development. It's inspired by Nicholas Zakas "Scalable JavaScript Application Architecture" talk. The framework leverages best tools and libraries such as Knockout, Linq, RxJS, RequireJS, JSLint, Chutzpah, jasmine, etc. and relies on what's considered as "good parts" of JavaScript language. [Less]

1.23K lines of code

0 current contributors

over 9 years since last commit

0 users on Open Hub

Inactive
0.0
 
0 Reviews
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Mostly written in JavaScript
Licenses: mit
Tags javascript net scalable scalejs visualstudio

numeter

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  Analyzed 27 days ago

Main repository for numeter poller / collector / storage / webapp. Graphs system in Python.

56.9K lines of code

0 current contributors

about 9 years since last commit

0 users on Open Hub

Inactive
0.0
 
0 Reviews
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Mostly written in JavaScript
Licenses: AGPL3_or_...
Tags cloud graphing monitoring python scalable

Snakemake

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  Analyzed 4 months ago

Snakemake is a workflow management system that aims to reduce the complexity of creating workflows by providing a fast and comfortable execution environment, together with a clean and modern specification language in python style. Snakemake workflows are essentially Python scripts extended by ... [More] declarative code to define rules. Rules describe how to create output files from input files. [Less]

305K lines of code

42 current contributors

4 months since last commit

0 users on Open Hub

Activity Not Available
0.0
 
0 Reviews
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Mostly written in Python
Licenses: mit
Tags claster conda grid management python scalable server singularity workflow

Scribe Server

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  Analyzed about 9 hours ago

Scribe is a server for aggregating log data streamed in real time from a large number of servers. It is designed to be scalable, extensible without client-side modification, and robust to failure of the network or any specific machine.

8.21K 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 C++
Licenses: apache_2
Tags facebook log logging scalable server

The Ray Parallel Genome Assembler

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  Analyzed about 8 hours ago

Ray assembler Ray is a parallel de novo genome assembler that utilises the message-passing interface everywhere and is implemented using peer-to-peer communication. Ray is implemented using the Ray Platform, a message-passing-interface programming framework. Ray is documented in ... [More] Documentation/ (many files) MANUAL_PAGE.txt (command-line options, same as Ray -help) README.md (general) INSTALL.txt (quick installation) Solutions (all bundled in a single Product called Ray) de novo genome assembly (original Ray Technology, re-branded to géno-Ray Technology) quantification of contig abundance (con-Ray Technology) de novo transcriptome assembly (trans-Ray Technology) quantification of transcript expression (express-Ray Technology) de novo meta-genome assembly (méta-Ray Technology) quantificati [Less]

41.2K lines of code

0 current contributors

over 6 years since last commit

0 users on Open Hub

Inactive
5.0
 
0 Reviews
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Mostly written in C++
Licenses: gpl3
Tags assembly cluster distributed genomics metagenomics mpi reads scalable sequences

MPTStore

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  Analyzed 1 day ago

MPTStore is a Java library for projects that need persistent, transaction-capable storage and querying of very large quantities of RDF data. The primary areas of focus are scalability and transaction safety with simple query support.

5.26K lines of code

0 current contributors

about 12 years since last commit

0 users on Open Hub

Inactive
0.0
 
0 Reviews
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Mostly written in Java
Licenses: educational
Tags java rdf scalable triplestore

incubator-singa

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  Analyzed about 20 hours 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]

87.6K lines of code

28 current contributors

about 1 month since last commit

0 users on Open Hub

Moderate Activity
0.0
 
0 Reviews
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Mostly written in C++
Licenses: apache_2
Tags artificial_neural_networks cluster CNN CUDA cudnn deep_learning distributed gpu large_datasets large_scale machine_learning multiple_gpu 5 more...

Ikarus Framework

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Claimed by Evil-Co Analyzed 1 day ago

The Ikarus Framework is a modular PHP based OOP framework.

22.1K lines of code

0 current contributors

over 10 years since last commit

0 users on Open Hub

Inactive
0.0
 
0 Reviews
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Mostly written in JavaScript
Licenses: lgpl3
Tags ajax apache collaboration community cross-platform crossplatform css database design development dynamic_content editor 57 more...

Deep Scalable Sparse Tensor Network Engine (DSSTNE)

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  Analyzed about 18 hours ago

Amazon DSSTNE: Deep Scalable Sparse Tensor Network Engine DSSTNE (pronounced "Destiny") is a library for training and deploying deep neural networks using GPUs. It is build to solve deep learning problems at Amazon's scale. It is built for production deployment of real-world deep learning ... [More] applications, emphasizing speed and scale over experimental flexibility. Multi-GPU Scale: Training and prediction both scale out to use multiple GPUs, spreading out computation and storage in a model-parallel fashion for each layer. Large Layers: Model-parallel scaling enables larger networks than are possible with a single GPU. Sparse Data: DSSTNE is optimized for fast performance on sparse datasets. Custom GPU kernels perform sparse computation on the GPU, without filling in lots of zeroes. [Less]

41K lines of code

6 current contributors

about 4 years since last commit

0 users on Open Hub

Inactive
0.0
 
0 Reviews
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Mostly written in C++
Licenses: apache_2
Tags deep_learning deployment GPU machine_learning multi-gpu neural_networks production scalable sparse