PyTorch statistics

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Citations per year

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Popular tool citations

chevron_left Realistic neuronal network modelling 3D image analysis chevron_right
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Tool usage distribution map

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Associated diseases

Associated diseases

PyTorch specifications


Unique identifier OMICS_23477
Name PyTorch
Software type Application/Script
Interface Command line interface
Restrictions to use None
Input data Some natural images.
Operating system Unix/Linux, Mac OS
Programming languages C++, Python
Computer skills Advanced
Stability Stable
Maintained Yes



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  • person_outline Zhongming Liu <>
  • person_outline Gregory Johnson <>

Additional information

Publication for PyTorch

PyTorch in publications

PMCID: 5886388
PMID: 29621236
DOI: 10.1371/journal.pcbi.1005993

[…] of the underlying machine learning concepts. large-scale organizations provide a competing and continuously improving set of openly available machine learning frameworks, such as caffe2, mxnet, pytorch, and tensorflow. developments like keras specifically target newcomers in machine learning and provide add-ons to these frameworks that aim to simplify the setup of experiments […]

PMCID: 5876594
PMID: 29510529
DOI: 10.3390/s18030774

[…] [], and tpn + lstm [], and the winner of the competition of imagenet vid 2015 []. the detailed evaluation metrics are described in . all the methods in the experiments were programmed based on the pytorch deep learning framework. the computational resources include a titan x gpu, 128 gb of memory, and an intel xeon e5-2670 cpu (2.30 ghz). the operating system used is ubuntu 14.04. moreover, […]

PMCID: 5795842
PMID: 29329268
DOI: 10.3390/s18010209

[…] distance, and it is initialized through the “kmeans++”, a procedure introduced by david arthur et al. [] to reduce the sensitivity of kmeans to the initialization seeds. the method is implemented in pytorch [], a python-based tool for deep learning. the experiments are launched on an ubuntu 16.04 personal computer equipped with an intel i7-4790 cpu 3.60ghz (santa clara, california, u.s.) × 8, 16 […]

PMCID: 5836887
PMID: 29235269
DOI: 10.1002/minf.201700123

[…] prior pz has to follow a multivariate gaussian distribution with zero mean and unit variance, the loss function can be formulized as:(1)l=-dklqφzxn(0,i))+e[logpθxz , our vae is implemented using the pytorch package and follows gómez‐bombarelli architecture closely. like gómez‐bombarelli et al. we used three cnn layer followed by two fully connected neural layers as an encoder. instead of using […]

PMCID: 5537091
PMID: 28315069
DOI: 10.1007/s10278-017-9965-6

[…] torch is a mature toolkit for machine learning that is written in c. it has good documentation and can be tailored to address specific needs. because it is written in c, performance is very good., pytorch is very recent entry—it was released during the writing of this manuscript. it is a python front end to the torch computational engine. this should provide the high performance of torch […]

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PyTorch institution(s)
Allen Institute for Cell Science, Seattle, WA, USA; Allen Institute for Brain Science, Seattle, WA, USA

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