markbneal

markbneal's Stars

• opengeos/segment-geospatial

  A Python package for segmenting geospatial data with the Segment Anything Model (SAM)

  Language:Python3.2k60155327

• ZrrSkywalker/Personalize-SAM

  Personalize Segment Anything Model (SAM) with 1 shot in 10 seconds

  Language:Python1.5k2546104

• RadarCODE/awesome-sar

  A curated list of awesome Synthetic Aperture Radar (SAR) software, libraries, and resources.

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• awesome-spectral-indices/awesome-spectral-indices

  A ready-to-use curated list of Spectral Indices for Remote Sensing applications.

  Language:Python9292755148

• opengisch/QField

  A simplified touch optimized interface for QGIS

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• rstudio/rstudio-conf

  Materials for rstudio::conf

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• jcrodriguez1989/chatgpt

  Interface to ChatGPT from R

  Language:R32053037

• bopen/sarsen

  Algorithms and utilities for Synthetic Aperture Radar (SAR) sensors

  Language:Jupyter Notebook27491527

• adugnag/gee_s1_ard

  Creates an analysis ready sentinel-1 SAR image collection in Google Earth Engine by applying additional border noise correction, speckle filtering and radiometric terrain normalization.

  Language:Python24642087

• r-causal/causal_inference_r_workshop

  Causal Inference in R Workshop

  Language:JavaScript19273659

• rstudio-conf-2022/art-from-code

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• rstudio-conf-2022/causal-inference-rstats

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• paezha/spatial-analysis-r

  Open Educational Resource for teaching spatial data analysis and statistics with R

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• sandyying/APM-Drowsiness-Detection

  Language:Jupyter Notebook362229

• filipematias23/Bison-Fly

  Bison-Fly is the NDSU Spring Wheat UAV Pipeline developed in partnership with Drone2Phenome UAV community (D2P). In this pipeline we are presenting step by step how we have been applying UAV data on our breeding program. This is a open source R code from where anyone can use and adept for different crops. All suggestions are welcome. Help us to build this platform in partnership with Drone2Phenome community.

  311004

• rstudio-conf-2022/wtf-rstats

  https://rstudio-conf-2022.github.io/wtf-rstats/

  28238

• alperezq/FancyPubFigures

  R scripts to generate publication summary figures

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• PPBDS/primer

  Preceptor's Primer for Bayesian Data Science

  Language:TeX214443

• rstudio-conf-2022/tidymodels-ml

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• tanho63/talk_rstudioconf2022_github

  Project Immortality: Using GitHub To Make Your Work Live Forever - a talk for rstudio::conf(2022)

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• PaulAlbert31/SemiSupGrassClover

  Code for the CVPPA 2021 paper: Semi-supervised dry herbage mass estimation using automatic data and synthetic images

  Language:Python10210

• bcgov/ghg-emissions-indicator

  R scripts for a GHG emissions indicator published on Environmental Reporting BC

  Language:R8772

• cran/SpATS

  :exclamation: This is a read-only mirror of the CRAN R package repository. SpATS — Spatial Analysis of Field Trials with Splines

  Language:R8610

• aliaksandr960/samgeo_to_linknet

  Segment Anything to MobileOne Linknet distillation

  Language:Jupyter Notebook7201

• mike-lawrence/stancon_2023_tutorial_hieararchical_modeling

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• pachadotdev/shinydoom

  Doom running on Shiny (and shinyapps.io)

  Language:JavaScript610

• odow/dairy-analytics

  A probabilistic forecast of the Fonterra farmgate milk price

  Language:Python5311

• edavidaja/you-should-use-renv

  rstudioconf::2022 talk

  Language:R4200

• posit-conf-2023/causal-inference

  Language:JavaScript420

• melissa-stephen/masters_thesis

  Determining the Utility of Adolescent Live Weight Data to Predict Two-Year-Old Live Weight in New Zealand Dairy Cattle

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