Matthew Whittle (MatthewJWhittle)

MatthewJWhittle

Geek Repo

Company:SLR Consulting

Location:Leeds, UK

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Matthew Whittle's starred repositories

Video-Dataset-Loading-Pytorch

Generic PyTorch dataset implementation to load and augment VIDEOS for deep learning training loops.

Language:PythonLicense:BSD-2-ClauseStargazers:445Issues:0Issues:0

GeoSynth

A PyTorch implementation of "GeoSynth: Contextually-Aware High-Resolution Satellite Image Synthesis"

Language:PythonLicense:Apache-2.0Stargazers:51Issues:0Issues:0

techniques

Techniques for deep learning with satellite & aerial imagery

License:Apache-2.0Stargazers:8281Issues:0Issues:0

awesome-satellite-imagery-datasets

🛰️ List of satellite image training datasets with annotations for computer vision and deep learning

License:MITStargazers:3589Issues:0Issues:0

dd-ml-segmentation-benchmark

DroneDeploy Machine Learning Segmentation Benchmark

Language:PythonStargazers:211Issues:0Issues:0

malpolon

Deep-SDM framework

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CameraTraps

PyTorch Wildlife: a Collaborative Deep Learning Framework for Conservation.

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convnetjs

Deep Learning in Javascript. Train Convolutional Neural Networks (or ordinary ones) in your browser.

Language:JavaScriptLicense:MITStargazers:10846Issues:0Issues:0

lonboard

A Python library for fast, interactive geospatial vector data visualization in Jupyter.

Language:PythonLicense:MITStargazers:538Issues:0Issues:0

geoarrow-rs

GeoArrow in Rust, Python, and JavaScript (WebAssembly) with vectorized geometry operations

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geopolars

Geospatial extensions for Polars

Language:RustLicense:MITStargazers:567Issues:0Issues:0

deck.gl-raster

deck.gl layers and WebGL modules for client-side satellite imagery analysis

Language:JavaScriptLicense:MITStargazers:84Issues:0Issues:0

Snowflake_ML_Intro

Introduction to performing Machine Learning on Snowflake

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Awesome-LLM

Awesome-LLM: a curated list of Large Language Model

License:CC0-1.0Stargazers:16766Issues:0Issues:0

balanced-employee-ip-agreement

GitHub's employee intellectual property agreement, open sourced and reusable

License:CC0-1.0Stargazers:2129Issues:0Issues:0

xarray

N-D labeled arrays and datasets in Python

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elapid

Species distribution modeling tools, including a python implementation of Maxent

Language:PythonLicense:MITStargazers:50Issues:0Issues:0

segment-geospatial

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

Language:PythonLicense:MITStargazers:2817Issues:0Issues:0

floodmodeller-api

The Flood Modeller Python API is a free and open-source python package which provides a bridge between Flood Modeller and the python programming language to extend the capabilities of Flood Modeller in automated workflows

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esri-leaflet

A lightweight set of tools for working with ArcGIS services in Leaflet. :rocket:

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Microsoft365R

R SDK for interacting with Microsoft 365 APIs

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lwgeom

bindings to the liblwgeom library

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exactextractr

R package for fast and accurate raster zonal statistics

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sfnetworks

Tidy Geospatial Networks in R

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fasterize

High performance raster conversion for modern spatial data 🚀🌏▦

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writeMDX

writes RMarkdown (.Rmd) files to MDX (.mdx) format. Used for R ➡️ RMarkdown ➡️ Markdown ➡️ MDX ➡️ JS ➡️ Gatsby blog

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NBN4R

This is a project to enable the R community to access data and resources hosted at National Biodiversity Network (NBN) Atlas. The goal is to enable outputs (e.g., observations of species) to be queried and output in standard formats.

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sf

Simple Features for R

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openxlsx

openxlsx - a fast way to read and write complex xslx files

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