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r-maotai
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public |
Matrix is an universal and sometimes primary object/unit in applied mathematics and statistics. We provide a number of algorithms for selected problems in optimization and statistical inference. For general exposition to the topic with focus on statistical context, see the book by Banerjee and Roy (2014, ISBN:9781420095388).
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2025-09-29 |
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ray-tune
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public |
Ray is a fast and simple framework for building and running distributed applications.
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2025-09-29 |
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ray-client
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public |
Ray is a fast and simple framework for building and running distributed applications.
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2025-09-29 |
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ray-core
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public |
Ray is a fast and simple framework for building and running distributed applications.
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2025-09-29 |
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ray-data
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public |
Ray is a fast and simple framework for building and running distributed applications.
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2025-09-29 |
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ray-serve
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public |
Ray is a fast and simple framework for building and running distributed applications.
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2025-09-29 |
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ray-observability
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public |
Ray is a fast and simple framework for building and running distributed applications.
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2025-09-29 |
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ray-train
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public |
Ray is a fast and simple framework for building and running distributed applications.
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2025-09-29 |
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ray-default
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public |
Ray is a fast and simple framework for building and running distributed applications.
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2025-09-29 |
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ray-rllib
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public |
Ray is a fast and simple framework for building and running distributed applications.
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2025-09-29 |
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ray-air
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public |
Ray is a fast and simple framework for building and running distributed applications.
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2025-09-29 |
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ray-all
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public |
Ray is a fast and simple framework for building and running distributed applications.
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2025-09-29 |
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r-mashr
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public |
Implements the multivariate adaptive shrinkage (mash) method of Urbut et al (2019) <DOI:10.1038/s41588-018-0268-8> for estimating and testing large numbers of effects in many conditions (or many outcomes). Mash takes an empirical Bayes approach to testing and effect estimation; it estimates patterns of similarity among conditions, then exploits these patterns to improve accuracy of the effect estimates. The core linear algebra is implemented in C++ for fast model fitting and posterior computation.
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2025-09-29 |
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lazyslide
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public |
Modularized and scalable whole slide image analysis
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2025-09-29 |
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r-wordspace
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public |
An interactive laboratory for research on distributional semantic models ('DSM', see <https://en.wikipedia.org/wiki/Distributional_semantics> for more information).
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2025-09-28 |
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ray-adag
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public |
Ray is a fast and simple framework for building and running distributed applications.
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2025-09-28 |
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ray-cgraph
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public |
Ray is a fast and simple framework for building and running distributed applications.
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2025-09-28 |
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selectolax
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public |
Fast HTML5 parser with CSS selectors.
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2025-09-28 |
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go-sops
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public |
sops manages JSON, YAML and BINARY documents to be encrypted or decrypted.
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2025-09-28 |
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tespy
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public |
Thermal Engineering Systems in Python (TESPy)
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2025-09-28 |
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libsixel
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public |
SIXEL encoder/decoder implementation
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2025-09-28 |
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hoomd
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public |
HOOMD-blue is a general-purpose particle simulation toolkit.
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2025-09-28 |
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pymatgen-io-validation
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public |
A comprehensive I/O validator for electronic structure calculations
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2025-09-28 |
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r-gsignal
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public |
R implementation of the 'Octave' package 'signal', containing a
variety of signal processing tools, such as signal generation and
measurement, correlation and convolution, filtering, filter design,
filter analysis and conversion, power spectrum analysis, system
identification, decimation and sample rate change, and windowing.
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2025-09-28 |
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r-spatialpack
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public |
Tools to assess the association between two spatial processes. Currently, several methodologies are implemented: A modified t-test to perform hypothesis testing about the independence between the processes, a suitable nonparametric correlation coefficient, the codispersion coefficient, and an F test for assessing the multiple correlation between one spatial process and several others. Functions for image processing and computing the spatial association between images are also provided. SpatialPack gives methods to complement methodologies that are available in geoR for one spatial process.
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2025-09-28 |
