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awesome-gee

A curated list of Google Earth Engine resources

bda_py_demos

Bayesian Data Analysis demos for Python

bda_r_demos

Bayesian Data Analysis demos for R

catboost

A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. Supports computation on CPU and GPU.

chorogrid

A python script to produce choropleths and colored square- and hex-grid maps

clases

Ejercicios de la asignatura "Hidrología" del Master en Gestión Ingegral de Sistemas Hídricos de la Universidad de Cantabria

day-of-data-2.0

Files for the DDY workshops

deep-forest

An implementation of Deep Forest 2021.2.1.

degit

Straightforward project scaffolding

diagrams

:art: Diagram as Code for prototyping cloud system architectures

dimensionality_reduction_alo_codes

特征提取/数据降维:PCA、LDA、MDS、LLE、TSNE等降维算法的python实现

earthengine-api

Python and JavaScript bindings for calling the Earth Engine API.

earthengine-py-notebooks

A collection of 300+ Jupyter Python notebook examples for using Google Earth Engine with interactive mapping

ensemble-learning-for-ai-developers

Source Code for 'Ensemble Learning for AI Developers' by Alok Kumar and Mayank Jain

extreme-clustering

gam-changer

Interactive Visualization to empower domain experts to align ML model behaviors with their knowledge.

gam-resources

gams-in-r-course

Generalized Additive Models in R: A Free Interactive Course

geemap

A Python package for interactive mapping with Google Earth Engine, ipyleaflet, and ipywidgets

herbie

Python for downloading model data (HRRR, RAP, GFS, NBM, etc.) from NOMADS, NOAA's Big Data Program partners (Amazon, Google, Microsoft), ECMWF open data, and the University of Utah Pando Archive System.

hyperopt-sklearn

Hyper-parameter optimization for sklearn

imbalanced-algorithms

Python-based implementations of algorithms for learning on imbalanced data.

imbalanced-learn

A Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning

imbalanced-regression

[ICML 2021, Long Talk] Delving into Deep Imbalanced Regression

kaggle-solutions

🏅 Collection of Kaggle Solutions and Ideas 🏅

lightgbm

A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks.

machine_learning

mediumarticles

A repository for all the code that is mentioned in my Medium articles

meteva

提供气象产品检验相关程序

mixed-effect-gams

Repo for tutorial/paper on mixed-effect GAMs