r-s2dv
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public |
The advanced version of package 's2dverification'. It is intended for 'seasonal to decadal' (s2d) climate forecast verification, but it can also be used in other kinds of forecasts or general climate analysis. This package is specially designed for the comparison between the experimental and observational datasets. The functionality of the included functions covers from data retrieval, data post-processing, skill scores against observation, to visualization. Compared to 's2dverification', 's2dv' is more compatible with the package 'startR', able to use multiple cores for computation and handle multi-dimensional arrays with a higher flexibility.
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2025-09-25 |
llama-index-multi-modal-llms-openai
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public |
llama-index multi-modal-llms openai integration
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2025-09-25 |
llama-index-llms-openai
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public |
llama-index llms openai integration
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2025-09-25 |
casatasks
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public |
Task implementations for CASA, the radio astronomical data processing package
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2025-09-25 |
python-cdo
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public |
Use CDO in the context of Python as if it would be a native library
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2025-09-25 |
ruff
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public |
An extremely fast Python linter, written in Rust.
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2025-09-25 |
r-geiger
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public |
Methods for fitting macroevolutionary models to phylogenetic trees.
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2025-09-25 |
sliderule
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public |
Python client for SlideRule
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2025-09-25 |
prismatools
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public |
prismatools is an open-source Python package for reading, analyzing, and visualizing hyperspectral imagery from the PRISMA mission.
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2025-09-25 |
r-shapviz
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public |
Visualizations for SHAP (SHapley Additive exPlanations), such as waterfall plots, force plots, various types of importance plots, dependence plots, and interaction plots. These plots act on a 'shapviz' object created from a matrix of SHAP values and a corresponding feature dataset. Wrappers for the R packages 'xgboost', 'lightgbm', 'fastshap', 'shapr', 'h2o', 'treeshap', 'DALEX', and 'kernelshap' are added for convenience. By separating visualization and computation, it is possible to display factor variables in graphs, even if the SHAP values are calculated by a model that requires numerical features. The plots are inspired by those provided by the 'shap' package in Python, but there is no dependency on it.
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2025-09-25 |
r-survival666
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public |
Functions can be used for batch survival analysis, but not only for it. Most importantly, it can verify any P-value calculated according to the gene expression level and eliminate the influence of co-expression genes.
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2025-09-25 |
r-survivalanalysis
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public |
A high-level interface to perform survival analysis, including Kaplan-Meier analysis and log-rank tests and Cox regression. Aims at providing a clear and elegant syntax, support for use in a pipeline, structured output and plotting. Builds upon the 'survminer' package for Kaplan-Meier plots and provides a customizable implementation for forest plots. Kaplan & Meier (1958) <doi:10.1080/01621459.1958.10501452> Cox (1972) <JSTOR:2985181> Peto & Peto (1972) <doi:10.2307/2344317>.
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2025-09-25 |
r-survmetrics
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public |
An implementation of popular evaluation metrics that are commonly used in survival prediction including Concordance Index, Brier Score, Integrated Brier Score, Integrated Square Error, Integrated Absolute Error and Mean Absolute Error. For a detailed information, see (Ishwaran H, Kogalur UB, Blackstone EH and Lauer MS (2008) <doi:10.1214/08-AOAS169>) and (Moradian H, Larocque D and Bellavance F (2017) <doi:10.1007/s10985-016-9372-1>) for different evaluation metrics.
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2025-09-25 |
r-ggquickeda
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public |
Quickly and easily perform exploratory data analysis by uploading your data as a 'csv' file. Start generating insights using 'ggplot2' plots and 'table1' tables with descriptive stats, all using an easy-to-use point and click 'Shiny' interface.
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2025-09-25 |
r-gfdsurv
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public |
Implemented are three Wald-type statistic and respective permuted versions for null hypotheses formulated in terms of cumulative hazard rate functions, medians and the concordance measure, respectively, in the general framework of survival factorial designs with possibly heterogeneous survival and/or censoring distributions, for crossed designs with an arbitrary number of factors and nested designs with up to three factors. Ditzhaus, Dobler and Pauly (2020) <doi:10.1177/0962280220980784> Ditzhaus, Janssen, Pauly (2020) <arXiv: 2004.10818v2> Dobler and Pauly (2019) <doi:10.1177/0962280219831316>.
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2025-09-25 |
casatools
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public |
Python tool implementations for CASA, the radio astronomical data processing package
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2025-09-25 |
r-survxai
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public |
Survival models may have very different structures. This package contains functions for creating a unified representation of a survival models, which can be further processed by various survival explainers. Tools implemented in 'survxai' help to understand how input variables are used in the model and what impact do they have on the final model prediction. Currently, four explanation methods are implemented. We can divide them into two groups: local and global.
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2025-09-25 |
llvm-tools-21
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public |
Development headers and libraries for LLVM
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2025-09-25 |
lit
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public |
Development headers and libraries for LLVM
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2025-09-25 |
postgresql-plpython
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public |
The plpythonu postgresql extension
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2025-09-25 |
libpq
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public |
The postgres runtime libraries and utilities (not the server itself)
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2025-09-25 |
postgresql
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public |
PostgreSQL is a powerful, open source object-relational database system.
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2025-09-25 |
r-rbiom
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public |
A toolkit for working with Biological Observation Matrix ('BIOM') files. Features include reading/writing all 'BIOM' formats, rarefaction, alpha diversity, beta diversity (including 'UniFrac'), summarizing counts by taxonomic level, and sample subsetting. Standalone functions for reading, writing, and subsetting phylogenetic trees are also provided. All CPU intensive operations are encoded in C with multi-thread support.
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2025-09-25 |
rancher-cli
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public |
The Rancher Command Line Interface (CLI) is a unified tool for interacting with your Rancher Server.
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2025-09-25 |
trame-vuetify
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public |
Vuetify widgets for trame
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2025-09-25 |