This package contains functions to calculate the split-half reliability of response time based cognitive tasks. Robust estimation procedures using a permutation approach are the core of the package functionality

Data and code for reproducing analyses from our paper titled "Barriers to coexistence limit the poleward range of a globally-distributed plant"

This code runs a holistic model of USA agricultural production 1990-2017. It is stochastic. The current code is set up to do a run of 125 iterations.
To fully reproduce results produced in the accompanying paper, the model should be run for 125 iterations, setting the seed at 1987, 1988, 1989 and 1990.

Four experiments were performed where fine-tuned VGG-16 and VGG-19 Convolutional Neural Networks (CNNs) with Deep Transfer Learning (DTL) were trained on both binary class X-ray images dataset and three-class X-ray images dataset. The system was trained with X-ray images dataset for the model to detect the COVID-19. The fine-tuned VGG-16 and VGG-19 DTL models were trained for 40 epochs with a batch size of 10, using Adam optimizer for weight updates, categorical cross-entropy loss function....

Initial release with deliverable publication, now with data added.

No description provided.

What's Changed Progress bar by @mpaillassa in https://github.com/mpaillassa/MaxiMask/pull/7 Dependencies by @mpaillassa in https://github.com/mpaillassa/MaxiMask/pull/8 Full copyhdu files by @mpaillassa in https://github.com/mpaillassa/MaxiMask/pull/9 Adding MaxiTrack progress bar by @mpaillassa in https://github.com/mpaillassa/MaxiMask/pull/10 Gpu log by @mpaillassa in https://github.com/mpaillassa/MaxiMask/pull/11 Readme image links by @mpaillassa in https://github.com/mpaillassa/MaxiMask/pull/12 Full Changelog: https://github.com/mpaillassa/MaxiMask/compare/v1.3.1...v1.3.3 1.3.2 was skipped because of a pypi upload failure.

This is an R package designed to select genes with low levels of variability in expression using read counts and gene sizes.

OverviewThis project contains the trained RNN model that was used to generate Fig. 7-8 of Zimnik and Churchland (2020). With the attached code, one is able to load the trained model, generate the inputs that the model was trained on (as well as the target outputs), feed the inputs to the model, and observe the resulting output (i.e., muscle activity).CodeThis project contains a single code file, stored in the 'Code' directory: a Jupyter Notebook titled...

First release of the Swiss Music Map.

First release after project transfer from Gitlab to GitHub. Full Changelog: https://github.com/psmsmets/xcorr/compare/v0.6.1...v0.7.0

First release after project transfer from Gitlab to GitHub. Full Changelog: https://github.com/psmsmets/xcorr/compare/v0.6.1...v0.7.0

The source code of R2Z2.

The source code of R2Z2.

A package to compute a cumulative history for time-series of perceptual dominance in bistable displays. Estimates cumulative history, an estimate of accumulating adaptation/prediction error for the dominant percept, for time-series for continuously viewed bistable perceptual rivalry displays. Computes cumulative history via a homogeneous first order differential process. I.e., it assumes exponential growth/decay of the history as a function of time and perceptually dominant state. Supports Gamma, log normal, and normal distribution families. Improvements in version...

Additional code used for the analysis of MTBLS1108 (DIAMetAlyzer)

Initial Release of AutoBEM archetypes creation from WRF shapefile.

Analyses of spatio-temproal distributions of ochre and lithic assemblages for the publication: Dapschauskas, R., Göden, M. B., Sommer, C., & Kandel, A. W. (2022). The Emergence of Habitual Ochre Use in Africa and its Significance for The Development of Ritual Behavior During The Middle Stone Age. Journal of World Prehistory. https://doi.org/10.1007/s10963-022-09170-2

References
Our analysis uses the following datasets: ROCEEH ROAD Database (https://www.roceeh.uni-tuebingen.de/roadweb) Lisiecki, L. E., & Raymo, M. E. (2005). A Pliocene-Pleistocene stack of...

Analyses of spatio-temproal distributions of ochre and lithic assemblages for the publication: Dapschauskas, R., Göden, M. B., Sommer, C., & Kandel, A. W. (2022). The Emergence of Habitual Ochre Use in Africa and its Significance for The Development of Ritual Behavior During The Middle Stone Age. Journal of World Prehistory. https://doi.org/10.1007/s10963-022-09170-2

References
Our analysis uses the following datasets: ROCEEH ROAD Database (https://www.roceeh.uni-tuebingen.de/roadweb) Lisiecki, L. E., & Raymo, M. E. (2005). A Pliocene-Pleistocene stack of...

First release of the Swiss Music Map.

This project is for Self-Similarity Learning Network (SSLN) introduced in the following paper "Exploring Self-Similarity for Single Image Super-Resolution", submitted to IEEE Transactions on Neural Networks and Learning Systems. The code is test on Ubuntu 16.04 environment (Python3.6, PyTorch >= 1.1.0) with Nvidia 3090 GPUs.

Simulate iterated stochastic integrals in MATLAB.

Fixed https://github.com/FNNDSC/ChRIS_ultron_backEnd/issues/352

Supporting codes and testing data for The Dutch Microbiome Project, distributed as zipped archive. Also available at github: https://github.com/GRONINGEN-MICROBIOME-CENTRE/DMP . Readme file is included in the archive.

Compared to the previous version, this one changes the time-measurement method to always use GNU time.