aldotapia

aldotapia's Stars

• holoviz/colorcet

  A set of useful perceptually uniform colormaps for plotting scientific data

  Language:Python69654

• BennettHydroLab/zero_to_lstm

  Language:Jupyter Notebook17

• Wainberg/ryp

  R inside Python

  Language:Python1663

• loreabad6/post

  Language:R14

• mcauser/awesome-micropython

  A curated list of awesome MicroPython libraries, frameworks, software and resources.

  Language:HTML1.5k182

• ua-datalab/Geospatial_Workshops

  UArizona DataLab Workshops

  Language:Jupyter Notebook196

• xarray-contrib/xarray-tutorial

  Xarray Tutorials

  Language:Jupyter Notebook184110

• kaiaai/LDS

  Arduino LiDAR library supporting YDLIDAR X2/X3/X4, RPLIDAR A1, Xiaomi LDS02RR, Neato XV11, LD14P, CAMSENSE X1, Delta-2A/2B/2G

  Language:C++897

• blaylockbk/Herbie

  Download numerical weather prediction datasets (HRRR, RAP, GFS, IFS, etc.) from NOMADS, NODD partners (Amazon, Google, Microsoft), ECMWF open data, and the University of Utah Pando Archive System.

  Language:Python53074

• martinvonk/SPEI

  A simple Python package to calculate and visualize some popular drought indices such as the SPI, SPEI and SGI.

  Language:Python748

• raoulcollenteur/Python-Hydrology-Tools

  :droplet: This repository holds a list of open source Python packages interesting to Hydrologists

  Language:Python447101

• brunorosilva/plotly-calplot

  The easiest and best looking Calendar Heatmap you'll find, made with Plotly.

  Language:Python12212

• yihui/litedown

  A lightweight version of R Markdown

  Language:R1875

• gaospecial/ggVennDiagram

  A 'ggplot2' implement of Venn Diagram.

  Language:R28638

• penpen86/azureml-examples

  Fork of the official Azure Machine Learning examples repo with a focus on GitHub Actions

  Language:Python12

• Blealtan/efficient-kan

  An efficient pure-PyTorch implementation of Kolmogorov-Arnold Network (KAN).

  Language:Python4.2k371

• KindXiaoming/pykan

  Kolmogorov Arnold Networks

  Language:Jupyter Notebook15.3k1.4k

• lutzroeder/netron

  Visualizer for neural network, deep learning and machine learning models

  Language:JavaScript29k2.8k

• rweekly/rweekly.org

  R Weekly

  Language:Rez731367

• data-intuitive/quarto-d2

  Language:Lua333

• adgallardoa/CeazaNode1.2_Examples

  Basics programs that shows how to use every part of the CEAZA datalogger system at low level.

  Language:C++21

• sizhuoli/TreeCountSegHeight

  Code for paper

  Language:Python8115

• easystats/parameters

  :bar_chart: Computation and processing of models' parameters

  Language:R44836

• kaust-halo/geeet

  Evapotranspiration (ET) models for use in python and with integration into Google Earth Engine

  Language:Python5515

• hrecht/cherry-blossoms

  Maps, math, and musings on cherry blossom peak bloom.

  Language:SCSS9

• hillsonghimire/pyGRACE

  The python based pyGRACE contains functions for pre processing of CSR GRACE and GRACE-FO for Google Earth Engine (GEE) ingestion. Subsequently, application module will be added for applications like ground water change monitoring using this dataset on GEE platform.

  Language:Jupyter Notebook4

• adrHuerta/Evaporation

  collect code(s) to compute evaporation/evapotranspiration

  Language:Python73

• easystats/performance

  :muscle: Models' quality and performance metrics (R2, ICC, LOO, AIC, BF, ...)

  Language:R1k95

• leovan/quarto-pseudocode

  Quarto Pseudocode Extension

  Language:Lua412

• udlbook/udlbook

  Understanding Deep Learning - Simon J.D. Prince

  Language:Jupyter Notebook6.8k1.4k