
TensorFlow
 Referenced in 284 articles
[sw15170]
 purposes of conducting machine learning and deep neural networks research, but the system is general...

PyTorch
 Referenced in 148 articles
[sw20939]
 strong GPU acceleration. PyTorch is a deep learning framework that puts Python first...

darch
 Referenced in 255 articles
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 publications ”A fast learning algorithm for deep belief nets” (G. E. Hinton, S. Osindero...

Keras
 Referenced in 94 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...

Caffe
 Referenced in 55 articles
[sw17850]
 Caffe is a deep learning framework made with expression, speed, and modularity in mind...

MXNet
 Referenced in 26 articles
[sw20940]
 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...

PointNet
 Referenced in 25 articles
[sw31209]
 PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation. Point cloud...

Tensor2Tensor
 Referenced in 13 articles
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 short, is a library of deep learning models and datasets designed to make deep learning...

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...

cuDNN
 Referenced in 8 articles
[sw17848]
 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...

Chainer
 Referenced in 10 articles
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 nextgeneration open source framework for deep learning. Chainer is a Pythonbased deep learning...

DeepLab
 Referenced in 14 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...

BinaryConnect
 Referenced in 13 articles
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 development of dedicated hardware for Deep Learning (DL). Binary weights, i.e., weights which are constrained...

FaceNet
 Referenced in 12 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...

OverFeat
 Referenced in 12 articles
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 ConvNet. We also introduce a novel deep learning approach to localization by learning to predict...

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

torchdiffeq
 Referenced in 11 articles
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 usage of ODE solvers in deep learning applications, see [1]. As the solvers are implemented...

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

CNTK
 Referenced in 10 articles
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 Toolkit (https://cntk.ai), is a unified deeplearning toolkit that describes neural networks...

AllenNLP
 Referenced in 10 articles
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 easy to design and evaluate new deep learning models for nearly any NLP problem, along...