Package Name | Access | Summary | Updated |
---|---|---|---|

spython | public | Command line python tool for working with singularity. | 2019-12-13 |

pomegranate | public | Pomegranate is a graphical models library for Python, implemented in Cython for speed. | 2019-12-13 |

openalea.deploy | public | OpenAlea.Deploy support the installation of OpenAlea packages. | 2019-12-13 |

static-frame | public | Immutable structures for one- and two-dimensional calculations with labelled axis | 2019-12-13 |

ephyviewer | public | Simple viewers for ephys signals, events, video and more | 2019-12-13 |

twilio | public | Twilio API client and TwiML generator | 2019-12-13 |

r-rmarkdown | public | Convert R Markdown documents into a variety of formats. | 2019-12-13 |

meshio | public | I/O for various mesh formats | 2019-12-13 |

proteus | public | Proteus is a Python package for rapidly developing computer models and numerical methods. | 2019-12-13 |

spacy-model-en_core_web_sm | public | English multi-task CNN trained on OntoNotes, with GloVe vectors trained on Common Crawl. | 2019-12-13 |

spacy-model-en_core_web_md | public | English multi-task CNN trained on OntoNotes, with GloVe vectors trained on Common Crawl. | 2019-12-13 |

spacy-model-en_core_web_lg | public | English multi-task CNN trained on OntoNotes, with GloVe vectors trained on Common Crawl. | 2019-12-13 |

datadog | public | The Datadog Python library | 2019-12-13 |

yarn | public | Fast, reliable, and secure dependency management. | 2019-12-13 |

qcfractal-dashboard | public | A distributed compute and database platform for quantum chemistry. | 2019-12-13 |

qcfractal | public | A distributed compute and database platform for quantum chemistry. | 2019-12-13 |

qcfractal-core | public | A distributed compute and database platform for quantum chemistry. | 2019-12-13 |

r-base | public | R is a free software environment for statistical computing and graphics. | 2019-12-13 |

fastapi | public | FastAPI framework, high performance, easy to learn, fast to code, ready for production | 2019-12-12 |

krb5 | public | A network authentication protocol. | 2019-12-12 |

awscli | public | Universal Command Line Environment for AWS. | 2019-12-12 |

boto3 | public | Amazon Web Services SDK for Python | 2019-12-12 |

bayespy | public | Variational Bayesian inference tools for Python | 2019-12-12 |

botocore | public | Low-level, data-driven core of boto 3. | 2019-12-12 |

r-catboost | public | CatBoost is a machine learning algorithm that uses gradient boosting on decision trees. It is available as an open source library. | 2019-12-12 |

jupyterlab | public | An extensible environment for interactive and reproducible computing, based on the Jupyter Notebook and Architecture. | 2019-12-12 |

r-geepack | public | Generalized estimating equations solver for parameters in mean, scale, and correlation structures, through mean link, scale link, and correlation link. Can also handle clustered categorical responses. | 2019-12-12 |

r-plyr | public | A set of tools that solves a common set of problems: you need to break a big problem down into manageable pieces, operate on each piece and then put all the pieces back together. For example, you might want to fit a model to each spatial location or time point in your study, summarise data by panels or collapse high-dimensional arrays to simpler summary statistics. The development of 'plyr' has been generously supported by 'Becton Dickinson'. | 2019-12-12 |

geocube | public | Tool to convert geopandas vector data into rasterized xarray data | 2019-12-12 |

r-dtwclust | public | Time series clustering along with optimized techniques related to the Dynamic Time Warping distance and its corresponding lower bounds. Implementations of partitional, hierarchical, fuzzy, k-Shape and TADPole clustering are available. Functionality can be easily extended with custom distance measures and centroid definitions. Implementations of DTW barycenter averaging, a distance based on global alignment kernels, and the soft-DTW distance and centroid routines are also provided. All included distance functions have custom loops optimized for the calculation of cross-distance matrices, including parallelization support. Several cluster validity indices are included. | 2019-12-12 |

erlang | public | A programming language used to build massively scalable soft real-time systems with requirements on high availability. | 2019-12-12 |

rioxarray | public | rasterio xarray extension. | 2019-12-12 |

r-landscapemetrics | public | Calculates landscape metrics for categorical landscape patterns in a tidy workflow. 'landscapemetrics' reimplements the most common metrics from 'FRAGSTATS' (<https://www.umass.edu/landeco/research/fragstats/fragstats.html>) and new ones from the current literature on landscape metrics. This package supports 'raster' spatial objects and takes RasterLayer, RasterStacks, RasterBricks or lists of RasterLayer from the 'raster' package as input arguments. It further provides utility functions to visualize patches, select metrics and building blocks to develop new metrics. | 2019-12-12 |

r-emojifont | public | An implementation of using emoji and fontawesome for using in both base and 'ggplot2' graphics. | 2019-12-12 |

r-randomfields | public | Methods for the inference on and the simulation of Gaussian fields are provided, as well as methods for the simulation of extreme value random fields. | 2019-12-12 |

r-sna | public | A range of tools for social network analysis, including node and graph-level indices, structural distance and covariance methods, structural equivalence detection, network regression, random graph generation, and 2D/3D network visualization. | 2019-12-12 |

h5py | public | Read and write HDF5 files from Python | 2019-12-12 |

r-hiclimr | public | A tool for Hierarchical Climate Regionalization applicable to any correlation-based clustering. It adds several features and a new clustering method (called, 'regional' linkage) to hierarchical clustering in R ('hclust' function in 'stats' library): data regridding, coarsening spatial resolution, geographic masking, contiguity-constrained clustering, data filtering by mean and/or variance thresholds, data preprocessing (detrending, standardization, and PCA), faster correlation function with preliminary big data support, different clustering methods, hybrid hierarchical clustering, multivariate clustering (MVC), cluster validation, visualization of regionalization results, and exporting region map and mean timeseries into NetCDF-4 file. | 2019-12-12 |

r-xptr | public | There is limited native support for external pointers in the R interface. This package provides some basic tools to verify, create and modify 'externalptr' objects. | 2019-12-12 |

google-cloud-sdk | public | Command-line interface for Google Cloud Platform products and services | 2019-12-12 |

obake-devel | public | A C++17 library for the symbolic manipulation of sparse polynomials and other closely-related mathematical objects | 2019-12-12 |

obake | public | A C++17 library for the symbolic manipulation of sparse polynomials and other closely-related mathematical objects | 2019-12-12 |

r-deriv | public | R-based solution for symbolic differentiation. It admits user-defined function as well as function substitution in arguments of functions to be differentiated. Some symbolic simplification is part of the work. | 2019-12-12 |

r-ipflasso | public | The core of the package is cvr2.ipflasso(), an extension of glmnet to be used when the (large) set of available predictors is partitioned into several modalities which potentially differ with respect to their information content in terms of prediction. For example, in biomedical applications patient outcome such as survival time or response to therapy may have to be predicted based on, say, mRNA data, miRNA data, methylation data, CNV data, clinical data, etc. The clinical predictors are on average often much more important for outcome prediction than the mRNA data. The ipflasso method takes this problem into account by using different penalty parameters for predictors from different modalities. The ratio between the different penalty parameters can be chosen by cross-validation. | 2019-12-12 |

localstack-ext | public | Extensions for LocalStack | 2019-12-12 |

r-performance | public | Utilities for computing measures to assess model quality, which are not directly provided by R's 'base' or 'stats' packages. These include e.g. measures like r-squared, intraclass correlation coefficient (Nakagawa, Johnson & Schielzeth (2017) <doi:10.1098/rsif.2017.0213>), root mean squared error or functions to check models for overdispersion, singularity or zero-inflation and more. Functions apply to a large variety of regression models, including generalized linear models, mixed effects models and Bayesian models. | 2019-12-12 |

r-rgooglemaps | public | Serves two purposes: (i) Provide a comfortable R interface to query the Google server for static maps, and (ii) Use the map as a background image to overlay plots within R. This requires proper coordinate scaling. | 2019-12-12 |

r-renv | public | A dependency management toolkit for R. Using 'renv', you can create and manage project-local R libraries, save the state of these libraries to a 'lockfile', and later restore your library as required. Together, these tools can help make your projects more isolated, portable, and reproducible. | 2019-12-12 |

sregistry-swift | public | Command line tool for working with container storage | 2019-12-12 |

sregistry-s3 | public | Command line tool for working with container storage | 2019-12-12 |

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