grave-robber

grave-robber's Stars

• r-wenger/land-use-land-cover-datasets

  List of datasets and codes for remote sensing LULC applications.

  313

• Fafa-DL/Awesome-Backbones

  Integrate deep learning models for image classification | Backbone learning/comparison/magic modification project

  Language:Python1.5k246

• blutjens/awesome-forests

  🌳 A curated list of ground-truth forest datasets for the machine learning and forestry community.

  28437

• tensorlayer/SRGAN

  Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network

  Language:Python3.3k813

• sgrvinod/a-PyTorch-Tutorial-to-Super-Resolution

  Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network | a PyTorch Tutorial to Super-Resolution

  Language:Python621116

• UlionTse/translators

  🌏🌍🌎Translators🌎🌍🌏 is a library that aims to bring free, multiple, enjoyable translations to individuals and students in Python. Translators是一个旨在用Python为个人和学生带来免费、多样、愉快翻译的库。

  Language:Python1.7k193

• SergeyPirogov/webdriver_manager

  Language:Python2k457

• oxylabs/how-to-scrape-google-scholar

  A guide for extracting titles, authors, and citations from Google Scholar using Python and Oxylabs SERP Scraper API.

  Language:Python3462

• kenjihiranabe/The-Art-of-Linear-Algebra

  Graphic notes on Gilbert Strang's "Linear Algebra for Everyone"

  Language:PostScript18k2.2k

• ChenYL2021/GuoLab

  LuXiancheng

  Language:R2

• shap/shap

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

  Language:Jupyter Notebook22.8k3.3k

• optuna/optuna

  A hyperparameter optimization framework

  Language:Python10.8k1k

• shankarpandala/lazypredict

  Lazy Predict help build a lot of basic models without much code and helps understand which models works better without any parameter tuning

  Language:Python3k344

• nityansuman/lazypredict-nightly

  Lazy Predict 2.0 to help you benchmark models without much code and understand what works better without any hyyper-parameter tuning.

  Language:Python16

• MuiseDestiny/zotero-style

  Ethereal Style for Zotero

  Language:JavaScript3.7k121

• shengchaochen82/Awesome-Foundation-Models-for-Weather-and-Climate

  A comprehesive survey about foundation models for weather and cliamte data understanding.

  16420

• awslabs/open-data-registry

  A registry of publicly available datasets on AWS

  Language:Python1.4k910

• ufs-community/ufs-weather-model

  UFS Weather Model

  Language:Fortran138249

• open-meteo/open-meteo

  Free Weather Forecast API for non-commercial use

  Language:Swift2.6k171

• Esri/arcgis-python-api

  Documentation and samples for ArcGIS API for Python

  Language:Python1.9k1.1k

• stevenpawley/Pyspatialml

  Machine learning modelling for spatial data

  Language:Python14529

• Hack-with-Github/Awesome-Hacking

  A collection of various awesome lists for hackers, pentesters and security researchers

  85k8.9k

• perrygeo/pyimpute

  Spatial classification and regression using Scikit-learn and Rasterio

  Language:Python12335

• apachecn/ml-mastery-zh

  :book: [译] MachineLearningMastery 博客文章

  Language:JavaScript680180

• yotkadata/uhi_detector

  Using Deep Learning and satellite imagery to detect Urban Heat Island (UHI) effects

  Language:Python173

• NightSongs/RSimageProcess_for_ChangeDetection

  Remote sensing image processing commonly used in deep learning + change detection

  Language:Python232

• senbox-org/snap-engine

  ESA Earth Observation Toolbox and Java Development Platform

  Language:Java18697

• d3blocks/d3blocks

  The Python library to create stand-alone and interactive d3 charts.

  Language:Jupyter Notebook59554

• csaybar/EEwPython

  A series of Jupyter notebook to learn Google Earth Engine with Python

  Language:Jupyter Notebook276125

• michaeltrs/DeepSatData

  Automatically create machine learning datasets from satellite images

  Language:Python418