65,904 Works

Tsamsonov/Supplementary-Contours: Supplementary Contours V0.1

Timofey Samsonov
This is the first release of supplementary-contours Python toolbox

Tsamsonov/Supplementary-Contours: Supplementary Contours V0.1

Timofey Samsonov
This is the first release of supplementary-contours Python toolbox

Jiamingcao/Csd: A Model Of Neurovascular Coupling And Its Application To Cortical Spreading Depolarization

JiamingCao
Codes uploaded, should run well, and be able to generate most of the figures in the paper.

Jiamingcao/Csd: A Model Of Neurovascular Coupling And Its Application To Cortical Spreading Depolarization

JiamingCao
Codes uploaded, should run well, and be able to generate most of the figures in the paper.

gms-index-mediator: a R-tree-based in-memory index for fast spatio-temporal queries for the GeoMultiSens platform

Daniel Eggert, Mike Sips & Doris Dransch
Gms-index-mediator is a standalone index for spatio-temporal data acting as a mediator between an application and a database. Even modern databases need several minutes to execute a spatio-temporal query to huge tables containing several million entries. Our index-mediator speeds the execution of such queries up by several magnitues, resulting in response times around 100ms. This version is tailored towards the GeoMultiSens database, but can be adapted to work with custom table layouts with reasonable effort.

Pageotd/Nessi: [0.2.0] - 2018-08-16

Damien Pageot
[0.2.0] - 2018-08-16 Added resamp method for SUdata() mute method for SUdata() specfx method for SUdata() specfk method for SUdata() wiggle method for SUdata() Standard Genetic Algorithm implementation (mu, pc, pm) Centroidal Voronoi tessellation option (McQueen algorithm) in Swarm.init_particles dispick: a simple dispersion diagram picking method to get the effective dispersion curve suread function (SUdata module) which declare SU object and read a SU file in the same time sucreate function (SUdata module) which declare...

Corinalogan/Grackles: Causal.Rmd Ready For Peer-Review

Corina Logan, Claudiawascher & ZoeJU
This is the version of g_causal.Rmd that was submitted for peer-review at PCI Ecology

Restrepo/Tcc Untagged-3D4791640Bf2A931183B

Diego Restrepo & Rescolo
Teoria Clásica de Campos. PDF:

Liammagee/Pyseal-Example 0.1

Liam Magee
No description provided.

Liammagee/Pyseal-Example 0.1

Liam Magee
No description provided.

Restrepo/Tcc Untagged-067C6Bf070D23A04E4A3

Diego Restrepo & Rescolo
Teoria Clásica de Campos. PDF:

Nicholasjclark/Mrfcov: V1.0.34

Nicholas Clark
This release improves the construction and estimation of spatial regression splines and adds capability to fit intercept-only models when frequencies of occurrence in binomial nodes are too low for glmnet to fit the regression

Gallantlab/Cottoncandy: Version 0.2.0

Anwar Nunez-Elizalde, Candytaco, Sslivkoff, Alex Huth, Mark Lescroart, Fatmai, Robert Gibboni, Carson McNeil, Sara Popham, Ariel Rokem & Michael Oliver
sugar for s3

Graphene Raman Fitting Tool

Matthew Robertson

Nestcollaboration/Nestpy V0.2.5

Chris Tunnell & Infophysics
(Alpha; do not use; not usable yet) Python bindings to the NEST library using pybind11.

Pyoceans/Ioos_Tools: V1.3.1

Filipe
depend directly n cftime

Dgasmith/Opt_Einsum: V2.1.2

Daniel Smith, Johnnie Gray, Fabian-Robert Stöter, Scott Sievert, Robert T. McGibbon, Nils Werner & Arfon Smith
Ensures versioneer.py is in MANIFEST.in for a clean pip install.

Frieda: Flexible Robust Intelligent Elastic Data Management Framework

Devarshi Ghoshal, Valerie Hendrix, William Fox, Sowmya Balasubhramanian & Lavanya Ramakrishnan
Scientific applications are increasingly using cloud resources for their data analysis workflows. However, managing data effectively and efficiently over these cloud resources is challenging due to the myriad storage choices with different performance, cost trade-offs, complex application choices and complexity associated with elasticity, failure rates in these environments. The different data access patterns for data-intensive scientific applications require a more flexible and robust data management solution than the ones currently in existence. FRIEDA is a...

Nickszap/Tpvtrack V1.0.1

Nick
Tracking tropopause polar vortices

Frieda: Flexible Robust Intelligent Elastic Data Management Framework

Devarshi Ghoshal, Valerie Hendrix, William Fox, Sowmya Balasubhramanian & Lavanya Ramakrishnan
Scientific applications are increasingly using cloud resources for their data analysis workflows. However, managing data effectively and efficiently over these cloud resources is challenging due to the myriad storage choices with different performance, cost trade-offs, complex application choices and complexity associated with elasticity, failure rates in these environments. The different data access patterns for data-intensive scientific applications require a more flexible and robust data management solution than the ones currently in existence. FRIEDA is a...

Dhimmel/Hetio V0.2.9

Daniel Himmelstein, Michael Zietz, Tong Shu Li & Greg Way
Hetnets in Python

Rdastgh1/Meanalyzer: Meanalyzer

RDastgh1
Analyze spike train data exported from multi-electrode array recordings

Rdastgh1/Meanalyzer: Meanalyzer

RDastgh1
Analyze spike train data exported from multi-electrode array recordings

Borismarin/Som-Codegen: Release 0.1

Boris Marin, Padraig Gleeson & Matteo Cantarelli
dLEMS - a distilled version of the Low Entropy Model Specification language used to generate code for numerical integrators.

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