Ben-Radford

Ben-Radford's Stars

• facebookresearch/segment-anything

  The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

  Language:Jupyter Notebook48k3086755.7k

• microsoft/AI-For-Beginners

  12 Weeks, 24 Lessons, AI for All!

  Language:Jupyter Notebook35k4101156k

• microsoft/MS-DOS

  The original sources of MS-DOS 1.25, 2.0, and 4.0 for reference purposes

  Language:Assembly30.8k74804.4k

• shap/shap

  A game theoretic approach to explain the output of any machine learning model.

  Language:Jupyter Notebook23k2452.5k3.3k

• bmild/nerf

  Code release for NeRF (Neural Radiance Fields)

  Language:Jupyter Notebook10k1411981.4k

• satellite-image-deep-learning/techniques

  Techniques for deep learning with satellite & aerial imagery

  8.8k279241.5k

• openai/point-e

  Point cloud diffusion for 3D model synthesis

  Language:Python6.6k22187763

• SysCV/sam-hq

  Segment Anything in High Quality [NeurIPS 2023]

  Language:Jupyter Notebook3.7k77138224

• Pointcept/SegmentAnything3D

  [ICCV'23 Workshop] SAM3D: Segment Anything in 3D Scenes

  Language:Python1k165170

• nicknochnack/MLTradingBot

  Language:HTML8083419337

• kvos/CoastSat

  Global shoreline mapping tool from satellite imagery

  Language:Jupyter Notebook69827406252

• aliaksandr960/segment-anything-eo

  Earth observation tools for Meta AI Segment Anything

  Language:Jupyter Notebook4079844

• rafaqz/Rasters.jl

  Raster manipulation for the Julia language

  Language:Julia216735036

• BlakeRMills/MoMAColors

  Color Schemes based around artwork and the Museum of Modern Art.

  Language:R190226

• fillipe-gsm/python-tsp

  Library to solve Traveling Salesperson Problems with pure Python code

  Language:Python17421828

• opengeos/HyperCoast

  A Python Package for Visualizing and Analyzing Hyperspectral Data in Coastal Environments

  Language:Python15552428

• BlasBenito/spatialRF

  R package to fit spatial models with Random Forest

  Language:R10931916

• evetion/GeoArrays.jl

  Simple geographical raster interaction built on top of ArchGDAL, GDAL and CoordinateTransformations

  Language:Julia5164613

• IPL-UV/kNDVI

  Kernel vegetation indices and the kernel NDVI

  Language:Python497314

• AarohiSingla/Image-Classification-Using-EfficientNets

  Series of EfficientNets (B0 to B7)

  Language:Jupyter Notebook382231

• onlyzdd/clinical-fusion

  Clinical data fusion

  Language:Python295715

• Prindle19/segment-everything

  Running Segment Anything Geospatial over Earth Engine exports with Dataflow at scale.

  25105

• HannaMeyer/OpenGeoHub_2020

  Ressources for the session on machine learning and remote sensing at the OpenGeoHub Summer school in Wageningen 2020

  Language:HTML152012

• USEPA/spsurvey

  spsurvey: Spatial Sampling Design and Analysis in R

  Language:R1513205

• pmlmodelling/pylag

  Lagrangian modelling framework

  Language:Cython1451265

• pderian/NEMOGCM-Docker

  Docker container for the NEMO ocean engine

  Language:Dockerfile7216

• EcoCommons-Australia/educational_material

  scripts and other files for use with the educational material and use cases available on EcoCommons Australia https://www.ecocommons.org.au/learn-support/

  Language:HTML4204

• open-AIMS/GBR-reef-guidance-assessment

  Language:Julia4390

• threehundred/benthic-ensemble-paper

  Code for the analysis and plots in the paper

  Language:Jupyter Notebook2101

• ocgabs/BLZ_SURGE

  Language:Fortran1000