mladencucak

mladencucak's Stars

• neo4j/NaLLM

  Repository for the NaLLM project

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• SJTU-IPADS/PowerInfer

  High-speed Large Language Model Serving on PCs with Consumer-grade GPUs

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• ArlindNocaj/aws-ai-intelligent-document-processing

  A set of Jupyter notebooks that describes different phases of an Intelligent Document Processing with AWS AI Services

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• AlvesKS/ShinyApp_Onion_BSPcast

  Codes for the Onion BSPcast shiny app: a forecasting application for predicting infection risk of Stemphylium Leaf Blight of Onion

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• vnijs/shiny-site

  Shiny app with dynamic rmarkdown

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• jakobnissen/hardware_introduction

  What scientific programmers must know about CPUs and RAM to write fast code.

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• nmcr01/quantitative-pathogen-ecology

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• cran-task-views/Agriculture

  CRAN Task View: Agricultural Science

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• emdelponte/emersondelponte

  Code for my personal website

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• OpenDroneMap/FIELDimageR

  FIELDimageR: A R package to analyze orthomosaic images from agricultural field trials. This package is a compilation of functions to analyze pos-mosaicking images from research fields, and allows to: crop the image; remove soil effect; build vegetation indices; rotate the image; build the plot shapefile; extract information for each plot; and evaluate stand count, canopy percentage, and plant height.

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• reconhub/covid19hub

  Community-driven COVID-19 analytics in R

  582

• rfordatascience/tidytuesday

  Official repo for the #tidytuesday project

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• dokato/todor

  TODOr - RStudio add-in for finding TODO, FIXME, CHANGED etc. comments in your code.

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• brycejohnston/awesome-agriculture

  Open source technology for agriculture, farming, and gardening

  1.3k204

• jhollist/alt_datacamp

  Repo to keep track of all the links that have been shared about Datacamp alternatives

  23

• easystats/bayestestR

  :ghost: Utilities for analyzing Bayesian models and posterior distributions

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• openplantpathology/OpenPlantPathology

  Open Plant Pathology website

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• adw96/biostat561

  Course materials for BIOST561

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• grunwaldlab/analysis_of_microbiome_community_data_in_r

  This is the source code for the "Analysis of Microbiome Community Data in R" ICPP 2018 workshop. The website is available at: https://grunwaldlab.github.io/analysis_of_microbiome_community_data_in_r/

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• robchoudhury/InformationTheory

  Epidemiology PLP6905

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• openplantpathology/OPP_Workshop_Multivariate

  Supporting data and information for the Workshop "Introduction to Multivariate Statistics Using R" presented at the International Congress of Plant Pathology 2018 Boston USA

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• krose/yrno

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• kwstat/agridat

  Agricultural datasets

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• chgigot/epiphy

  Analyzing plant disease epidemics

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