
TensorFlow
 Referenced in 239 articles
[sw15170]
 purposes of conducting machine learning and deep neural networks research, but the system is general...

darch
 Referenced in 238 articles
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 publications ”A fast learning algorithm for deep belief nets” (G. E. Hinton, S. Osindero...

Keras
 Referenced in 81 articles
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 Keras: Deep Learning library for Theano and TensorFlow. Keras is a minimalist, highly modular neural ... Keras if you need a deep learning library that: allows for easy and fast prototyping...

PyTorch
 Referenced in 98 articles
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 strong GPU acceleration. PyTorch is a deep learning framework that puts Python first...

Caffe
 Referenced in 47 articles
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 Caffe is a deep learning framework made with expression, speed, and modularity in mind...

MXNet
 Referenced in 20 articles
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 MXNet is a deep learning framework designed for both efficiency and flexibility. It allows ... MXNet is also more than a deep learning project. It is also a collection ... blue prints and guidelines for building deep learning systems, and interesting insights of DL systems...

Edward
 Referenced in 13 articles
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 models on small data sets to complex deep probabilistic models on large data sets. Edward ... three fields: Bayesian statistics and machine learning, deep learning, and probabilistic programming...

PointNet
 Referenced in 18 articles
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 PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation. Point cloud...

cuDNN
 Referenced in 8 articles
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 cuDNN: Efficient Primitives for Deep Learning. We present a library of efficient implementations of deep ... learning primitives. Deep learning workloads are computationally intensive, and optimizing their kernels is difficult ... there is no analogous library for deep learning. Without such a library, researchers implementing deep ... BLAS, with optimized routines for deep learning workloads. Our implementation contains routines for GPUs, although...

Tensor2Tensor
 Referenced in 9 articles
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 short, is a library of deep learning models and datasets designed to make deep learning...

DeepLab
 Referenced in 13 articles
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 task of semantic image segmentation with Deep Learning and make three main contributions that ... which feature responses are computed within Deep Convolutional Neural Networks. It also allows...

DeepStack
 Referenced in 11 articles
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 automatically learned from selfplay using deep learning. In a study involving 44,000 hands...

Chainer
 Referenced in 8 articles
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 nextgeneration open source framework for deep learning. Chainer is a Pythonbased deep learning...

pLocmGneg
 Referenced in 23 articles
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 Gramnegative bacterial proteins by deep gene ontology learning via general PseAAC. Information...

OverFeat
 Referenced in 10 articles
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 ConvNet. We also introduce a novel deep learning approach to localization by learning to predict...

DeepMath
 Referenced in 8 articles
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 knowledge, this is the first time deep learning has been applied to theorem proving...

FaceNet
 Referenced in 8 articles
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 present a system, called FaceNet, that directly learns a mapping from face images ... feature vectors. Our method uses a deep convolutional network trained to directly optimize the embedding ... intermediate bottleneck layer as in previous deep learning approaches. To train, we use triplets...

CNTK
 Referenced in 8 articles
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 Toolkit (https://cntk.ai), is a unified deeplearning toolkit that describes neural networks...

VAMPnets
 Referenced in 5 articles
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 VAMPnets: Deep learning of molecular kinetics. There is an increasing demand for computing the relevant ... Markov processes (VAMP) to develop a deep learning framework for molecular kinetics using neural networks...

AllenNLP
 Referenced in 7 articles
[sw26526]
 easy to design and evaluate new deep learning models for nearly any NLP problem, along...