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Analyzed 9 days ago
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TensorFlow™ is an open source software library for numerical computation using data flow graphs. Nodes in the graph represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) communicated between them. The flexible architecture allows you to deploy

Licenses:
Apache-2.0

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Analyzed 9 days ago
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The Neurokernel Project aims to build an open software platform for the emulation of the entire brain of the fruit fly Drosophila melanogaster on multiple Graphics Processing Units (GPUs).

Licenses:
BSD-3-Clause

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Analyzed 12 days ago
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scikit-cuda provides Python interfaces to many of the functions in the CUDA device/runtime, CUBLAS, CUFFT, and CUSOLVER libraries distributed as part of NVIDIA's CUDA Programming Toolkit, as well as interfaces to select functions in the free and standard versions of the CULA Dense Toolkit. Both

Licenses:
BSD-3-Clause

C

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Analyzed 7 days ago
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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

Licenses:
No declared licenses

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Analyzed 10 days ago
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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

Licenses:
Apache-2.0

C

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Analyzed 9 days ago
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Compute Library for Deep Neural Networks (clDNN) is an open source performance library for Deep Learning (DL) applications intended for acceleration of DL inference on Intel® HD Graphics Driver and Intel® Iris® graphics (also referred to as Intel® Processor Graphics).
clDNN includes highly

Licenses:
Apache Li...