From f45e51e8b3a930a6c83f39ccffc9438dbf64b949 Mon Sep 17 00:00:00 2001 From: "github-actions[bot]" <41898282+github-actions[bot]@users.noreply.github.com> Date: Mon, 1 Jan 2024 05:27:06 +0000 Subject: [PATCH] Add changes --- _data/containers.yaml | 8 +- _data/repos.yml | 544 +- .../repeatexplorer/repex_tarean/Singularity | 36 + .../repex_tarean/Singularity.0.3.7.5996768 | 38 + .../repex_tarean/Singularity.0.3.8.dbaa07f | 38 + assets/js/repos.js | 34605 ++++++++-------- 6 files changed, 17705 insertions(+), 17564 deletions(-) create mode 100644 _recipes/repeatexplorer/repex_tarean/Singularity create mode 100644 _recipes/repeatexplorer/repex_tarean/Singularity.0.3.7.5996768 create mode 100644 _recipes/repeatexplorer/repex_tarean/Singularity.0.3.8.dbaa07f diff --git a/_data/containers.yaml b/_data/containers.yaml index 2b29113f..f51aab50 100644 --- a/_data/containers.yaml +++ b/_data/containers.yaml @@ -1,5 +1,5 @@ bases: -- count: 1928 +- count: 1931 name: ubuntu - count: 430 name: nvidia/cuda @@ -1974,7 +1974,7 @@ bases: - count: 1 name: nitesh1989/biocparallel-example bootstraps: -- count: 6273 +- count: 6276 name: docker - count: 472 name: shub @@ -2909,7 +2909,7 @@ orgs: name: nitesh1989 tags: latest: 683 - other: 5825 + other: 5828 versions: /nrs/funke/singularity/linajea/pylp_base: v1.5.img: 1 @@ -5481,7 +5481,7 @@ versions: '18.10': 9 '19.04': 33 '19.10': 16 - '20.04': 426 + '20.04': 429 '20.04 ': 1 '20.10': 3 '21.04': 3 diff --git a/_data/repos.yml b/_data/repos.yml index d1cbd75e..bc94953b 100644 --- a/_data/repos.yml +++ b/_data/repos.yml @@ -2814,10 +2814,10 @@ APSIMInitiative/APSIMClassic: rel="nofollow">Here.

' - stargazers_count: 26 + stargazers_count: 27 subscribers_count: 16 topics: [] - updated_at: 1689914576.0 + updated_at: 1703281675.0 ARCLeeds/christmas-devcontainers-talk: data_format: 2 description: christmas-devcontainers-talk @@ -5668,18 +5668,18 @@ AuReMe/metage2metabo: full_name: AuReMe/metage2metabo latest_release: 1.5.4 readme: "

\"PyPI \"GitHub \"Actions \"Documentation \"\"

\n

mpwt\ \ package, used in M2M.

\n" - stargazers_count: 40 + stargazers_count: 41 subscribers_count: 6 topics: - bioinformatics - bioinformatics-pipeline - metabolic-models - updated_at: 1700216293.0 + updated_at: 1702482300.0 Aucomte/RNAja: data_format: 2 description: null @@ -11333,7 +11333,7 @@ CIA-CCTB/pythrahyper_net:

Please have a look at the notebook Introduction.ipynb, or try it directly here: Open In Colab (requires Google account)

@@ -15690,46 +15690,46 @@ DeepLearnPhysics/larcv2-singularity: data_format: 2 description: null filenames: - - arxiv/Singularity.ubuntu16.04-gpu-larcv_develop - - arxiv/Singularity.ub16.04-tf1.10.1-torch0.4.1 - - arxiv/Singularity.ubuntu16.04-gpu - - arxiv/Singularity.ubuntu16.04-larcv_develop - - arxiv/Singularity.ub16.04-tf1.11.0-torch0.4.1 - - arxiv/Singularity.ub16.04-tf1.11.0-torch0.4.1-root6.14.04 - - arxiv/Singularity.ub16.04-tf1.7-torch0.4 - - arxiv/Singularity.ub16.04-tf1.10.1-torch0.4.1-root6.14.04 - - arxiv/Singularity.ubuntu16.04-gpu-py3 - - arxiv/Singularity.ubuntu16.04-basic - - recipes/Singularity.ub16.04-cuda90-pytorch1.0.0-scn - - recipes/Singularity - - recipes/Singularity.ub18.04-gpu-ana0 - - recipes/Singularity.ub18.04-cuda100-py3-pytorch1.1.0-scn-docker - - recipes/Singularity.ub18.04-gpu-ana0-mn - - recipes/Singularity.ub16.04-cuda90-pytorchdev20181015 - - recipes/Singularity.ub18.04-cpu-ana0 + - recipes/Singularity.ub18.04-cuda100-py3-pytorch1.0.1-scn + - recipes/Singularity.ub18.04-gpu-ana0-ml-larcv2 + - recipes/Singularity.ub16.04-cuda100-pytorch1.0.0-scn + - recipes/Singularity.ub18.04-gpu - recipes/Singularity.ub18.04-cuda10.1-ml-larcv2 - - recipes/Singularity.ub16.04-cuda90-tf1.12.0 - - recipes/Singularity.ub16.04-cuda90-pytorch0.4.1 + - recipes/Singularity.ub18.04-cuda100-py3-pytorch1.1.0-scn + - recipes/Singularity.ub16.04-cuda90-pytorchdev20181015 + - recipes/Singularity.ub18.04-gpu-ana0 - recipes/Singularity.ub18.04-cpu - recipes/Singularity.ub16.04-cuda100-pytorchdev20181215 - - recipes/Singularity.ub18.04-gpu + - recipes/Singularity.HKMLWorkshop + - recipes/Singularity.ub18.04-gpu-ana0-mn + - recipes/Singularity.ub18.04-cpu-ana0 - recipes/Singularity.ub16.04-cuda90-py3-pytorch1.0.1-scn - - recipes/Singularity.ub16.04-cuda100-pytorch1.0.0-scn - - recipes/Singularity.ub18.04-cuda100-py3-pytorch1.1.0-scn - - recipes/Singularity.ub18.04-gpu-ana0-ml-larcv2 - recipes/Singularity.ub18.04-cuda10.2-extra - - recipes/Singularity.ub18.04-cuda100-py3-pytorch1.0.1-scn - - recipes/Singularity.ub18.04-cpu-ana0-larcv2 - - recipes/Singularity.HKMLWorkshop + - recipes/Singularity - recipes/Singularity.ub18.04-gpu-ana0-ml + - recipes/Singularity.ub18.04-cpu-ana0-larcv2 + - recipes/Singularity.ub16.04-cuda90-tf1.12.0 + - recipes/Singularity.ub18.04-cuda100-py3-pytorch1.1.0-scn-docker + - recipes/Singularity.ub16.04-cuda90-pytorch1.0.0-scn + - recipes/Singularity.ub16.04-cuda90-pytorch0.4.1 + - arxiv/Singularity.ubuntu16.04-larcv_develop + - arxiv/Singularity.ub16.04-tf1.10.1-torch0.4.1 + - arxiv/Singularity.ub16.04-tf1.10.1-torch0.4.1-root6.14.04 + - arxiv/Singularity.ub16.04-tf1.11.0-torch0.4.1 + - arxiv/Singularity.ubuntu16.04-gpu + - arxiv/Singularity.ub16.04-tf1.7-torch0.4 + - arxiv/Singularity.ubuntu16.04-basic + - arxiv/Singularity.ub16.04-tf1.11.0-torch0.4.1-root6.14.04 + - arxiv/Singularity.ubuntu16.04-gpu-larcv_develop + - arxiv/Singularity.ubuntu16.04-gpu-py3 full_name: DeepLearnPhysics/larcv2-singularity latest_release: null readme: '

license - https://www.singularity-hub.org/static/img/hosted-singularity--hub-%23e32929.svg

@@ -17509,13 +17509,13 @@ EI-CoreBioinformatics/mikado: full_name: EI-CoreBioinformatics/mikado latest_release: v2.3.4 readme: "

\"GitHub\n\"Release\"\n\"PyPI\"\n

CircleCI Docker Hub - https://www.singularity-hub.org/static/img/hosted-singularity--hub-%23e32929.svg

@@ -33033,10 +33033,10 @@ JeffersonLab/hd_singularity: \ installs gluex software\n -d output directory for containers (default: current\ \ working directory)\n -t token to be used to name containers (default = extension\ \ in \"Singularity.ext\")\n\n" - stargazers_count: 0 + stargazers_count: 1 subscribers_count: 54 topics: [] - updated_at: 1640222636.0 + updated_at: 1704073259.0 JeffersonLab/jlabce: data_format: 2 description: null @@ -33085,28 +33085,28 @@ Jellby/Pegamoid:

Screenshots

-

-

-

-

-

@@ -33569,10 +33569,10 @@ Jellby/Pegamoid: ' - stargazers_count: 10 + stargazers_count: 11 subscribers_count: 2 topics: [] - updated_at: 1697751787.0 + updated_at: 1703414567.0 JesseBrouw/GraphCreate: data_format: 2 description: Creates graphs from problem instance pddl inputs @@ -39012,21 +39012,21 @@ MRChemSoft/mrchem: readme: "

\"MRChem

\n

\"DOI\"\n\n\"License\"\n\"Documentation\n\"Build\n\"CircleCI\"\n\"codecov\"

\n

MRChem is a numerical real-space code\ \ for molecular electronic structure\ncalculations within the self-consistent\ @@ -39057,13 +39057,13 @@ MRChemSoft/mrchem: \ class=\"anchor\" aria-hidden=\"true\" tabindex=\"-1\" href=\"#using-conda\"\ >Using Conda\n\

\"Anaconda-Server\n\"Anaconda-Server\n\"Anaconda-Server

\n

To install MRChem in a Conda environment\ \ myenv:

\n
$ conda create -n myenv\n$ conda activate\
@@ -39106,8 +39106,8 @@ MRChemSoft/mrchem:
     

Note that the MPI image requires that a compatible MPI library is installed\ \ and\navailable on the host. For information on how to launch the container:

\n\
$ singularity run-help mrchem-mpi.sif\n
\n" - stargazers_count: 23 - subscribers_count: 8 + stargazers_count: 24 + subscribers_count: 9 topics: - multiwavelets - computational-chemistry @@ -39116,7 +39116,7 @@ MRChemSoft/mrchem: - c-plus-plus - python - density-functional-theory - updated_at: 1700223726.0 + updated_at: 1703731199.0 MRChemSoft/mrchem-singularity: data_format: 2 description: Hosting recipes for Singularity Hub @@ -39129,7 +39129,7 @@ MRChemSoft/mrchem-singularity: full_name: MRChemSoft/mrchem-singularity latest_release: null readme: "

\"https://singularityhub.github.io/singularityhub-docs/assets/img/hosted-singularity--hub-%23e32929.svg\"\

\n

\n" stargazers_count: 1 - subscribers_count: 6 + subscribers_count: 7 topics: [] updated_at: 1641394651.0 MRIresearch/NeuroPipelines: @@ -39335,7 +39335,7 @@ MRtrix3/mrtrix3: \ octicon-link\">MRtrix\n

\"\\n\"@MRtrix3\"

\n

MRtrix3 can be installed /\ \ run through multiple avenues:

\n ' - stargazers_count: 8346 + stargazers_count: 8347 subscribers_count: 350 topics: - c-plus-plus @@ -62185,7 +62185,7 @@ VowpalWabbit/vowpal_wabbit: - active-learning - learning-to-search - cpp - updated_at: 1703339445.0 + updated_at: 1704000148.0 WIPACrepo/monitoring-scripts: data_format: 2 description: Tools for monitoring HTCondor and other things @@ -62201,7 +62201,7 @@ WIPACrepo/monitoring-scripts: ' stargazers_count: 0 - subscribers_count: 6 + subscribers_count: 7 topics: [] updated_at: 1635282516.0 WalesGenePark/NanoSeqQC: @@ -70004,7 +70004,7 @@ apptainer/singularity: found in the license file.

' - stargazers_count: 2477 + stargazers_count: 2478 subscribers_count: 90 topics: - containers @@ -70021,7 +70021,7 @@ apptainer/singularity: - portability - rootless-containers - cloud-native - updated_at: 1703163474.0 + updated_at: 1703796884.0 ar90n/lab: data_format: 2 description: my laboratory @@ -71623,12 +71623,12 @@ automl/HPOBench:

Status for Master Branch:\n\"Build\n\"codecov\"

\n

Status for Development Branch:\n\"Build\n\"codecov\"

\n

},\n url={https://openreview.net/forum?id=1k4rJYEwda-}\n}\n" - stargazers_count: 120 + stargazers_count: 121 subscribers_count: 12 topics: - hyperparameter-optimization @@ -71851,7 +71851,7 @@ automl/HPOBench: - bayesian-optimization - benchmark - containerized-benchmarks - updated_at: 1703044085.0 + updated_at: 1703590447.0 ay-lab/FitHiChIP: data_format: 2 description: Statistically Significant loops from HiChIP data @@ -72438,19 +72438,19 @@ barbagroup/geoclaw-landspill: true\" tabindex=\"-1\" href=\"#geoclaw-landspill\">geoclaw-landspill

\n

\"License\"\n\"Travis\n\"GitHub\n\"status\"\n\"Conda\"

\n

Note: if looking for content\ \ of geoclaw-landspill-cases, please checkout tag\nv0.1.\ @@ -75034,7 +75034,7 @@ bbodi/rustarok: >Thanks\n

\n" - stargazers_count: 263 + stargazers_count: 265 subscribers_count: 15 topics: - rust @@ -75045,7 +75045,7 @@ bbodi/rustarok: - multiplayer - 2d - 3d - updated_at: 1702409847.0 + updated_at: 1703043777.0 bcgsc/orca: data_format: 2 description: ':whale: Genomics Research Container Architecture' @@ -76907,8 +76907,8 @@ biocorecrg/C4LWG-2018: description: Hands-on tutorial on Nextflow and Containers (Docker and Singularity). Paris 2018. filenames: - - Singularity - Singularity.xenial + - Singularity full_name: biocorecrg/C4LWG-2018 latest_release: null readme: "

- -

@@ -78577,8 +78577,8 @@ bioexcel/pmx_container:

The singularity container has been built through singularity hub.

-

@@ -78594,15 +78594,15 @@ bioexcel/zip_container: - Singularity.latest full_name: bioexcel/zip_container latest_release: null - readme: '

- -

@@ -78709,8 +78709,8 @@ bioexcel/zip_container:

The singularity container has been built through singularity hub.

-

@@ -84925,7 +84925,7 @@ connor-lab/singularity-recipes: ./build_containers.sh

https://www.singularity-hub.org/static/img/hosted-singularity--hub-%23e32929.svg

@@ -90587,8 +90587,8 @@ datalad/datalad-neuroimaging: data_format: 2 description: DataLad extension for neuroimaging research filenames: - - tools/Singularity - tools/Singularity.devmaster + - tools/Singularity full_name: datalad/datalad-neuroimaging latest_release: 0.3.4 readme: "
 ____          _           _                 _\n|  _ \\   __\
@@ -90596,32 +90596,32 @@ datalad/datalad-neuroimaging:
     \ | / _` |\n| |_| || (_| || |_ | (_| || |___ | (_| || (_| |\n|____/  \\__,_| \\\
     __| \\__,_||_____| \\__,_| \\__,_|\n                                   Neuroimaging\n\
     
\n

\"Travis \"codecov.io\" \"Documentation\" \"https://www.singularity-hub.org/static/img/hosted-singularity--hub-%23e32929.svg\"\ \"License: \"GitHub \"PyPI \"Average \"Percentage

\n

This extension enhances DataLad (http://datalad.org) for working\ @@ -94286,11 +94286,11 @@ diplomacy/research: data_format: 2 description: Supervised and RL Models for No Press Diplomacy filenames: - - diplomacy_research/containers/ubuntu-cuda10/Singularity - - diplomacy_research/containers/redis/Singularity + - diplomacy_research/containers/research/Singularity - diplomacy_research/containers/albert-ai/Singularity + - diplomacy_research/containers/redis/Singularity + - diplomacy_research/containers/ubuntu-cuda10/Singularity - diplomacy_research/containers/tensorflow-serving/Singularity - - diplomacy_research/containers/research/Singularity full_name: diplomacy/research latest_release: v1.0.0 readme: "

\"Current \"Conda

\n


\n" - stargazers_count: 139 + stargazers_count: 140 subscribers_count: 1 topics: - genomics @@ -94531,7 +94531,7 @@ divonlan/genozip: - samtools - bwa - cram - updated_at: 1701916993.0 + updated_at: 1703575344.0 djarecka/tmp_nipype_tut: data_format: 2 description: null @@ -99518,24 +99518,24 @@ expfactory/expfactory: data_format: 2 description: software to generate a reproducible container with a battery of experiments filenames: - - expfactory/templates/build/singularity/Singularity - - expfactory/templates/build/singularity/Singularity.test - expfactory/templates/build/singularity/Singularity.template + - expfactory/templates/build/singularity/Singularity.test + - expfactory/templates/build/singularity/Singularity full_name: expfactory/expfactory latest_release: 3.2.13 readme: '

The Experiment Factory

-

DOI - DOI - Gitter chat

@@ -105658,28 +105658,28 @@ gem-pasteur/PanACoTA: readme: "

PanACoTA

\n

\"Downloads\"\n\"GitHub\n\"PyPI\n\"Anaconda-Server

\n\n

\"DOI:10.1093/nargab/lqaa106\"

\n\n

\n\n

\"License\n\"pipeline\n\"coverage

\n\n

This README file provides some essential\ \ information to install/use PanACoTA. But it is better to read the NAR Genomics and Bioinformatics, Volume 3, Issue\ \ 1, March 2021\n\"DOI:10.1093/nargab/lqaa106\"

\n

Content of this README:

\n\

Installation

\n

https://www.singularity-hub.org/static/img/hosted-singularity--hub-%23e32929.svg

@@ -126571,28 +126571,28 @@ kipoi/kipoi: \ aria-hidden=\"true\" tabindex=\"-1\" href=\"#kipoi-model-zoo-for-genomics\"\ >Kipoi: Model\ \ zoo for genomics\n\n\t\"CircleCI\"\n\t\"CircleCI\"\n\n\n\t\"Coverage\n\t\"Coverage\n\n\n\t\"Gitter\"\n\t\"Gitter\"\n\n\n\t\"PyPi\"\n\t\"PyPi\"\n\n\n\t\"Python\"\n\t\"Python\"\n\n\n\t\"License:\n\t\"License:\n\n

This repository implements a python package and\ \ a command-line interface (CLI) to access and use models from Kipoi-compatible\ \ model zoo's.

\n

\n

License

\n

Kipoi is MIT-style licensed, as found\ \ in the LICENSE file.

\n" - stargazers_count: 226 + stargazers_count: 229 subscribers_count: 22 topics: [] - updated_at: 1700854336.0 + updated_at: 1703906053.0 kipoi/models: data_format: 2 description: Model zoo for genomics @@ -129992,18 +129992,18 @@ litebird/litebird_sim: full_name: litebird/litebird_sim latest_release: v0.10.0 readme: "\n\n\n

\"Stable\"\n\"Tests\"\n\"Build\n\"Issues\"\n\"GPL3

\n\n
\n

\n \n singularity-pytorch-gpu

https://www.singularity-hub.org/static/img/hosted-singularity--hub-%23e32929.svg

@@ -137980,7 +137980,7 @@ ml4ai/UA-hpc-containers: Container Repository

https://www.singularity-hub.org/static/img/hosted-singularity--hub-%23e32929.svg

@@ -138011,13 +138011,13 @@ ml4ai/automates: >Automated\ \ Model Assembly
from Text, Equations, and Software\n

\n \n \n \n \n \n \n \n \n \n \"CodeFactor\"\n

\n

This repository holds the source code\ \ for the AutoMATES documentation\nand several component pipelines.

\n

For\ @@ -138064,36 +138064,37 @@ mlcommons/mlcube_examples: - mnist/Singularity.recipe full_name: mlcommons/mlcube_examples latest_release: null - readme: "

MLCube examples

\n

The machine learning (ML) community has seen an explosive\ - \ growth and innovation in the last decade. New models emerge\non a daily basis,\ - \ but sharing those models remains an ad-hoc process. Often, when a researcher\ - \ wants to use a model\nproduced elsewhere, they must waste hours or days on a\ - \ frustrating attempt to get the model to work. Similarly, a ML\nengineer may\ - \ struggle to port and tune models between development and production environments\ - \ which can be significantly\ndifferent from each other. This challenge is magnified\ - \ when working with a set of models, such as reproducing related\nwork, employing\ - \ a performance benchmark suite like MLPerf, or developing model management infrastructures.\n\ - Reproducibility, transparency and consistent performance measurement are cornerstones\ - \ of good science and engineering.

\n

The field needs to make sharing models\ - \ simple for model creators, model users, developers and operators for both\n\ - experimental and production purpose while following responsible practices. Prior\ - \ works in the MLOps space have provided\na variety of tools and processes that\ - \ simplify user journey of deploying and managing ML in various environments,\n\ - which include management of models, datasets, and dependencies, tracking of metadata\ - \ and experiments, deployment and\nmanagement of ML lifecycles, automation of\ - \ performance evaluations and analysis, etc.

\n

We propose an MLCube\xAE\ - , a contract for packaging ML tasks and models that enables easy sharing and consistent\ - \ reproduction\nof models, experiments and benchmarks amidst these existing MLOps\ - \ processes. MLCube differs from an operation tool by\nacting as a contract and\ - \ specification as opposed to a product or implementation.

\n

This repository\ - \ contains a number of MLCube examples that can run in different environments\ - \ using\nMLCube runners.

\n\ -
    \n
  1. \nMNIST MLCube downloads data and trains a simple\ - \ neural network. This MLCube can run with Docker or\nSingularity locally and\ - \ on remote hosts. The README file provides\ - \ instructions on how to run it.\nMLCube MLCube examples\n

    The machine learning\ + \ (ML) community has seen an explosive growth and innovation in the last decade.\ + \ New models emerge\non a daily basis, but sharing those models remains an ad-hoc\ + \ process. Often, when a researcher wants to use a model\nproduced elsewhere,\ + \ they must waste hours or days on a frustrating attempt to get the model to work.\ + \ Similarly, a ML\nengineer may struggle to port and tune models between development\ + \ and production environments which can be significantly\ndifferent from each\ + \ other. This challenge is magnified when working with a set of models, such as\ + \ reproducing related\nwork, employing a performance benchmark suite like MLPerf,\ + \ or developing model management infrastructures.\nReproducibility, transparency\ + \ and consistent performance measurement are cornerstones of good science and\ + \ engineering.

    \n

    The field needs to make sharing models simple for model\ + \ creators, model users, developers and operators for both\nexperimental and production\ + \ purpose while following responsible practices. Prior works in the MLOps space\ + \ have provided\na variety of tools and processes that simplify user journey of\ + \ deploying and managing ML in various environments,\nwhich include management\ + \ of models, datasets, and dependencies, tracking of metadata and experiments,\ + \ deployment and\nmanagement of ML lifecycles, automation of performance evaluations\ + \ and analysis, etc.

    \n

    We propose an MLCube\xAE, a contract for packaging\ + \ ML tasks and models that enables easy sharing and consistent reproduction\n\ + of models, experiments and benchmarks amidst these existing MLOps processes. MLCube\ + \ differs from an operation tool by\nacting as a contract and specification as\ + \ opposed to a product or implementation.

    \n

    This repository contains a number\ + \ of MLCube examples that can run in different environments using\nMLCube runners.

    \n
      \n
    1. \nMNIST MLCube downloads data and trains a simple neural network.\ + \ This MLCube can run with Docker or\nSingularity locally and on remote hosts.\ + \ The README file provides instructions on how\ + \ to run it.\nMLCube documentation provides additional details.
    2. \n
    3. \n\ Hello World MLCube is a simple exampled described\ \ in this\nmain website to discover more.

      \n

      \"Travis\n\"Docker\"\n\"https://www.singularity-hub.org/static/img/hosted-singularity--hub-%23e32929.svg\"\

      \n

      Generated

      \n

      \"Build

      \n

      Not all files are written by humans.\ \ Generated will detect files that have been\ngenerated by computers. Items like\ @@ -149958,13 +149959,13 @@ openhackathons-org/gpubootcamp: full_name: openhackathons-org/gpubootcamp latest_release: null readme: '

      License GitHub release (latest by date including pre-releases) GitHub issues

      @@ -150007,7 +150008,7 @@ openhackathons-org/gpubootcamp: rel="nofollow">OpenACC Slack Channel.

      ' - stargazers_count: 479 + stargazers_count: 481 subscribers_count: 21 topics: - machine-learning @@ -150022,7 +150023,7 @@ openhackathons-org/gpubootcamp: - rapidsai - openmp - ai4hpc - updated_at: 1702873408.0 + updated_at: 1704002551.0 openhpc/ohpc: data_format: 2 description: OpenHPC Integration, Packaging, and Test Repo @@ -153507,16 +153508,16 @@ phelelani/nf-rnaSeqMetagen: octicon-link">nf-rnaSeqMetagen

      GitHub license fair-software.eu GitHub stars GitHub issues

      @@ -156692,7 +156693,7 @@ powerPlant/apsimx-srf: full_name: powerPlant/apsimx-srf latest_release: null readme: '

      https://www.singularity-hub.org/static/img/hosted-singularity--hub-%23e32929.svg

      @@ -167551,6 +167552,19 @@ remiolsen/pin_hic_singularity: subscribers_count: 1 topics: [] updated_at: 1647940031.0 +repeatexplorer/repex_tarean: + data_format: 2 + description: RepeatExplorer2 singularity definition + filenames: + - Singularity.0.3.7.5996768 + - Singularity.0.3.8.dbaa07f + - Singularity + full_name: repeatexplorer/repex_tarean + latest_release: 0.3.8.2 + stargazers_count: 1 + subscribers_count: 2 + topics: [] + updated_at: 1701766150.0 researchapps/blast: data_format: 2 description: singularity image for biocontainers blast (anaconda) @@ -167859,7 +167873,7 @@ researchapps/sherlock: readme: "

      Sherlock

      \n

      \"https://www.singularity-hub.org/static/img/hosted-singularity--hub-%23e32929.svg\"\

      \n

      This is a repository for container build\ @@ -175271,7 +175285,7 @@ scibian/singularity-container: tabindex="-1" href="#singularityce">SingularityCE

      CircleCI

      @@ -176941,7 +176955,7 @@ sequana/sequana: - singularity/Singularity.0_8_0 full_name: sequana/sequana latest_release: v0.16.4 - stargazers_count: 134 + stargazers_count: 136 subscribers_count: 6 topics: - ngs @@ -176953,7 +176967,7 @@ sequana/sequana: - snakemake - coverage - rna-seq - updated_at: 1703055863.0 + updated_at: 1703912799.0 sequana/variant_calling: data_format: 2 description: null @@ -180860,8 +180874,8 @@ singularityhub/singularity-deploy: description: Build and deploy Singularity containers to GitHub releases, and pull with the singularity-hpc client filenames: - - Singularity - Singularity.salad + - Singularity - Singularity.pokemon full_name: singularityhub/singularity-deploy latest_release: 0.0.12 @@ -180965,7 +180979,7 @@ singularityhub/singularity-deploy: 0.0.1\"\n \"pokemon\": \"0.0.1\"\nmaintainer: \"@vsoch\"\nurl: https://github.com/singularityhub/singularity-deploy\n\
      \n

      (This part is still under development!)

      \n" stargazers_count: 14 - subscribers_count: 5 + subscribers_count: 6 topics: [] updated_at: 1675889215.0 singularityhub/singularity-in-docker: @@ -185650,7 +185664,7 @@ sylabs/singularity: tabindex="-1" href="#singularityce">SingularityCE

      CircleCI

      @@ -185878,13 +185892,13 @@ sylabs/singularity: found in the license file.

      ' - stargazers_count: 590 + stargazers_count: 597 subscribers_count: 13 topics: - containers - hpc - linux - updated_at: 1703303791.0 + updated_at: 1703984217.0 sylvainschmitt/singularity-octopus: data_format: 2 description: 'octopus Singularity container ' @@ -186349,11 +186363,11 @@ tanushreebanerjee/paquette_2019: data_format: 2 description: null filenames: - - diplomacy_research/containers/ubuntu-cuda10/Singularity - - diplomacy_research/containers/redis/Singularity + - diplomacy_research/containers/research/Singularity - diplomacy_research/containers/albert-ai/Singularity + - diplomacy_research/containers/redis/Singularity + - diplomacy_research/containers/ubuntu-cuda10/Singularity - diplomacy_research/containers/tensorflow-serving/Singularity - - diplomacy_research/containers/research/Singularity full_name: tanushreebanerjee/paquette_2019 latest_release: null readme: "

      Plasmons

      \n

      \"Dev\"\n\"Build

      \n

      High-performance implementation of real-space\ \ Random Phase Approximation for\ncalculation of plasmonic excitations. For more\ @@ -192537,17 +192551,17 @@ uncch-rdmc/singularity-dev-images: data_format: 2 description: null filenames: - - gephi/Singularity.0.9.2 - - gephi/Singularity.0.9.1 - jupyter/Singularity - jupyter/Singularity.4.4.0 - - anaconda2/Singularity - anaconda2/Singularity.5.3.0 - - rstudio/Singularity.3.5.1 - - rstudio/Singularity + - anaconda2/Singularity - rstudio/Singularity.3.4.4 - - anaconda3/Singularity + - rstudio/Singularity + - rstudio/Singularity.3.5.1 - anaconda3/Singularity.5.3.0 + - anaconda3/Singularity + - gephi/Singularity.0.9.2 + - gephi/Singularity.0.9.1 full_name: uncch-rdmc/singularity-dev-images latest_release: null readme: '

    4. mc-2021 - DOI @@ -194666,11 +194680,11 @@ vfonov/minc-toolkit-containers: data_format: 2 description: Making containers with minc-toolkit filenames: - - singularity/Singularity.1.9.16 - - singularity/Singularity.1.0.09 - - singularity/Singularity.base-min - singularity/Singularity.1.9.15 + - singularity/Singularity.1.0.09 + - singularity/Singularity.1.9.16 - singularity/Singularity.base + - singularity/Singularity.base-min - singularity/Singularity.1.9.16-min full_name: vfonov/minc-toolkit-containers latest_release: null @@ -199546,11 +199560,11 @@ wwongkamjan/dipnet_press: data_format: 2 description: try adding press to DipNet filenames: - - diplomacy_research/containers/ubuntu-cuda10/Singularity - - diplomacy_research/containers/redis/Singularity + - diplomacy_research/containers/research/Singularity - diplomacy_research/containers/albert-ai/Singularity + - diplomacy_research/containers/redis/Singularity + - diplomacy_research/containers/ubuntu-cuda10/Singularity - diplomacy_research/containers/tensorflow-serving/Singularity - - diplomacy_research/containers/research/Singularity full_name: wwongkamjan/dipnet_press latest_release: null readme: "