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deeplearning4j

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  Analyzed about 11 hours ago

Deeplearning4j is the first commercial-grade, open-source, distributed deep-learning library; designed to be used in business environments. Deeplearning4j aims to be cutting-edge plug and play, more convention than configuration, which allows for fast prototyping for non-researchers. Vast ... [More] support of scale out: Hadoop, Spark and Akka + AWS et al It includes both a distributed, multi-threaded deep-learning framework and a normal single-threaded deep-learning framework. Iterative reduce net training. First framework adapted for a micro-service architecture. A versatile n-dimensional array class. GPU integration [Less]

1.14M lines of code

17 current contributors

6 days since last commit

5 users on Open Hub

Moderate Activity
4.0
   
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The ADAMS Flow

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  Analyzed about 11 hours ago

ADAMS is a flexible workflow engine aimed at quickly building and maintaining data-driven, reactive workflows, easily integrated into business processes. Instead of placing operators on a canvas and manually connecting them, a tree structure and flow control operators determine how data is ... [More] processed (sequentially/parallel). This allows rapid development and easy maintenance of large workflows, with hundreds or thousands of operators. Operators include machine learning (WEKA, MOA, MEKA) and image processing (ImageJ, JAI, BoofCV, OpenImaJ, LIRE, ImageMagick and Gnuplot). R available using Rserve. WEKA webservice allows other frameworks to use WEKA models. Fast prototyping with Groovy and Jython. Read/write support for various databases and spreadsheet applications. [Less]

1.05M lines of code

4 current contributors

1 day since last commit

2 users on Open Hub

High Activity
0.0
 
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word2vec-query-expansion

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  Analyzed about 16 hours ago

An Apache Lucene TokenFilter that uses a word2vec vectors for term expansion.

1.08K lines of code

0 current contributors

over 8 years since last commit

2 users on Open Hub

Inactive
0.0
 
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Neural Audio Fingerprint

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  Analyzed 1 day ago

This is an official code and dataset release by authors (since July 2021) for reproducing "Neural Audio Fingerprint for High-specific Audio Retrieval based on Contrastive Learning" ICASSP 2021

3.08K lines of code

0 current contributors

6 days since last commit

1 users on Open Hub

Very Low Activity
0.0
 
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libdeep

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  Analyzed about 1 year ago

This is a C library which can be used in deep learning applications. What differentiates libdeep from the numerous other deep learning systems out there is that it's small and that trained networks can be exported as completely standalone C or Python programs which can either be used via the ... [More] commandline or within an Arduino IDE for creating robotics or IoT applications. A Python API for libdeep is also available. [Less]

15.6K lines of code

0 current contributors

over 2 years since last commit

1 users on Open Hub

Activity Not Available
0.0
 
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tiny-cnn

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  Analyzed about 4 hours ago

header only, dependency-free deep learning framework in C++11

153K lines of code

2 current contributors

almost 4 years since last commit

0 users on Open Hub

Inactive
0.0
 
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Licenses: No declared licenses

RET ROCm

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  Analyzed 1 day ago

ROCm Machine Learning installer One command ROCm installer. It simplifies ROCm installation and the machine learning frameworks.

1.63K lines of code

3 current contributors

almost 3 years since last commit

0 users on Open Hub

Inactive
5.0
 
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CNTK

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  Analyzed about 19 hours ago

CNTK (Computational Network Toolkit) by Microsoft Research, is a unified deep-learning toolkit that describes neural networks as a series of computational steps via a directed graph. In this directed graph, leaf nodes represent input values or network parameters, while other nodes represent matrix ... [More] operations upon their inputs. CNTK allows to easily realize and combine popular model types such as feed-forward DNNs, convolutional nets (CNNs), and recurrent networks (RNNs/LSTMs). It implements stochastic gradient descent (SGD, error backpropagation) learning with automatic differentiation and parallelization across multiple GPUs and servers. [Less]

327K lines of code

26 current contributors

13 days since last commit

0 users on Open Hub

Very Low Activity
0.0
 
I Use This
Licenses: No declared licenses