Projects with this topic
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An R package to simplify the analysis and prediction of Antimicrobial Resistance (AMR) and to work with antibiotic data by using evidence-based methods.
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gl-demo-ultimate-mgrabowski / Test Project
CI/CD Catalog (unpublished)test123=123 test:test123 dataset openml datagit tabular parquet CSV Python JavaScript Java Docker HTML CSS Linux React PHP C++ TypeScript Android game Rust Go GitLab C Ansible API Bash python3 C# nodejs website web golang hacktoberfest Django bot Terraform dotfiles Kubernetes Angular MySQL cli Node.js Kotlin Laravel library Git Amazon Web S... PostgreSQL Windows Unity JSON WordPress Archived shishifubing js devops Ruby plugin shell MongoDB template bootstrap security AI discord automation html5 Spring Qt arduino blog documentation Vue.js Program LaTeX theme gui REST API machine lear... Express legend app ci vue Markdown flask node server docker-compose spring boot Flutter Lua debian in preparation iOS hugo vim R CSS3 minecraft trololoUpdated -
Fit parametric models for time-to-event data that show an initial 'incubation period', i.e., a variable phase where the hazard is zero. The delayed Weibull distribution serves as the foundational data model. The specific method of MPSE (maximum product of spacings estimation) or different variants of MLE (maximum likelihood estimation) are implemented for parameter estimation. Bootstrap confidence intervals for parameters and significance tests in a two group setting are provided as well.
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EcoCommons R package for running complete species distribution modelling workflows. Utilised by the https://www.ecocommons.org.au/ platform.
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The Statistical Grimoire is a beginner-friendly open-access online textbook being updated with statistics and data analysis techniques using the R programming language.
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Shoot a JupyterLab | marimo | VS Code/VSCodium | Pluto.jl | Matlab | SSHD | ... server to a (remote) Slurm allocation and talk to it via your local browser. Runs locally (Linux, Mac, Windows (WSL)) or remotely (e.g. as Remote or ProxyCommand configured in ~/.ssh/config) or inside an interactive Slurm session. One Bash script for both tasks: as a wrapper it starts itself as an sbatch script in a Slurm job.
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Fundamental theory and practice in Data Science (DS).
🧮 data analysis AI ML DL machine lear... deep learning data science data-enginee... artificial i... data-science data preproc... Python C C++ NumPy pandas mathematics Algorithm algorithms Data Enginee... big data scipy scikit-learn xgboost lightgbm catboost TensorFlow keras PyTorch matplotlib seaborn plotly nltk opencv dask linear-algebra calculus probability statistics Discrete Mat... RUpdated -
Materials on various sections in Computer Science (CS).
🎓 с с++ shell Bash makefile Git GitLab github SQL computer sci... PowerShell Mobile Devel... Android iOS devops game develop... Web Development JavaScript Java Python Docker HTML CSS TypeScript C++ Rust game Go C C# python3 nodejs golang Django Node.js MySQL Kotlin Windows PostgreSQL Flutter machine lear... js Ruby Qt Markdown R Swift cybersecurity Cyber Security bioinformatics deep learning big data NumPy pandas matplotlib scikit-learn scipy development softwareUpdated -
Playground to test the generation of a web map to display the points from a climate shelter network, allowing to filters results in several ways based on different criteria.
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[MIRROR] An R interface to OpenStreetMap API for fetching and saving data from/to the OpenStreetMap database. Upstream: https://github.com/ropensci/osmapiR
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Materials and resources for the teaching unit "Morphometrics with R" (University of Bordeaux, Summer School). Website.
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R package to make a music guessing game
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CornerstoneR package provides generic R scripts which enable you to use existing R routines in Cornerstone.
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R script providing an estimate of the probability of obtaining a bib as a function of the number of Running Stones and the number of years entered in the lottery for UTMB final.
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Fast Survey Sampling Algorithms https://dickoa.gitlab.io/sondage/
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Corpora for text analysis
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This is an R package for downloading spatial and temporal data from the Catchment Attributes and Meteorology for Large Sample Studies, Chile Dataset (CAMELS-CL) https://camels.cr2.cl/. Details of the dataset are provided in https://doi.org/10.5194/hess-22-5817-2018.
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Ce projet a pour but d'analyser comment le relief naturel et les pressions anthropiques, comme l'urbanisation ou l'agriculture, influencent la répartition des poissons en France. En nous appuyant sur les données de l'OFB, nous cherchons à comprendre dans quelle mesure la modification des paysages favorise la survie d'espèces tolérantes au détriment des plus sensibles.
Ce projet a été réalisé sur R et utilise des données piscicoles.
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