tag:joss.theoj.org,2005:/papers/tagged/pre-trainedJournal of Open Source Software2022-10-09T08:06:59ZJournal of Open Source Softwarehttps://joss.theoj.orgtag:joss.theoj.org,2005:Paper/37612022-10-09T08:06:59Z2022-10-10T00:01:28ZVolume Segmantics: A Python Package for Semantic Segmentation of Volumetric Data Using Pre-trained PyTorch Deep Learning
Modelsacceptedv0.2.62022-08-03 10:44:21 UTC782022-10-09 08:06:59 UTC720224691OliverN. f.KingDiamond Light Source Ltd., Harwell Science and Innovation Campus, Didcot, Oxfordshire, UK0000-0002-6152-7207DimitriosBellosRosalind Franklin Institute, Harwell Science and Innovation Campus, Didcot, Oxfordshire, UK0000-0002-8015-3191MarkBashamDiamond Light Source Ltd., Harwell Science and Innovation Campus, Didcot, Oxfordshire, UK, Rosalind Franklin Institute, Harwell Science and Innovation Campus, Didcot, Oxfordshire, UK0000-0002-8438-141510.21105/joss.04691https://doi.org/10.5281/zenodo.7143363Pythonhttps://joss.theoj.org/papers/10.21105/joss.04691.pdfsegmentation, deep learning, volumetric, images, pre-trainedtag:joss.theoj.org,2005:Paper/15762020-06-24T15:15:36Z2021-02-15T11:30:54ZSpleeter: a fast and efficient music source separation tool with pre-trained modelsacceptedv1.4.92020-03-06 17:19:15 UTC502020-06-24 15:15:36 UTC520202154RomainHennequinDeezer Research, Paris0000-0001-8158-5562AnisKhlifDeezer Research, ParisFelixVoituretDeezer Research, ParisManuelMoussallamDeezer Research, Paris0000-0003-0886-542310.21105/joss.02154https://doi.org/10.5281/zenodo.3906389Python, Jupyter Notebookhttps://joss.theoj.org/papers/10.21105/joss.02154.pdfmusical signal processing, source separation, vocal isolationtag:joss.theoj.org,2005:Paper/6092019-04-10T00:36:48Z2021-02-15T11:33:03ZEmbeddings.jl: easy access to pretrained word embeddings from Juliaacceptedv0.3.02018-08-31 04:22:38 UTC362019-04-10 00:36:48 UTC420191013LyndonWhiteThe University of Western Australia0000-0003-1386-1646DavidEllisonNone0000-0002-2431-396310.21105/joss.01013https://doi.org/10.5281/zenodo.2633789Juliahttps://joss.theoj.org/papers/10.21105/joss.01013.pdfjulialang, opendata, NLP, word embeddings, machine learning