surajitdb Goto Github PK

2020_opengeohub_machine-learning-madlene

OpenGeoHub Summer School: Mastering Machine Learning - Lecture and Training

a-very-short-introduction-to-r

A (very) short introduction to R

advanced-shiny

🤹 Shiny tips & tricks for improving your apps and solving common problems

aiforearthdatasets

Notebooks and documentation for AI-for-Earth-managed datasets on Azure

alphapy

Automated Machine Learning [AutoML] with Python, scikit-learn, Keras, XGBoost, LightGBM, and CatBoost

amwoss

Applied mathematics problems with Open Source Software: Operational Research with Python and R.

attention-mechanisms

Implementations for a family of attention mechanisms, suitable for all kinds of natural language processing tasks and compatible with TensorFlow 2.0 and Keras.

augmented-neural-odes

Pytorch implementation of Augmented Neural ODEs :sunflower:

auto_ts

Automatically build ARIMA, SARIMAX, VAR, FB Prophet and XGBoost Models on Time Series data sets with a Single Line of Code. Now updated with Dask to handle millions of rows.

automation-repo

Machine learning and process automation

awesome-chatgpt-prompts

This repo includes ChatGPT prompt curation to use ChatGPT better.

awesome-conformal-prediction

A professionally curated list of awesome Conformal Prediction videos, tutorials, books, papers, PhD and MSc theses, articles and open-source libraries.

awesome-earthobservation-code

A curated list of awesome tools, tutorials, code, helpful projects, links, stuff about Earth Observation and Geospatial stuff!

awesome-geospatial-companies

:globe_with_meridians: List of 500+ geospatial companies (GIS, Earth Observation, UAV, Satellite, Digital Farming, ..)

awesome-multimodal-remote-sensing-classification

List of datasets, papers, and codes related to multimodal/multisource/multisensor remote sensing classification

bamb2022-model-fitting

Tutorials on statistical model fitting (optimization, Bayesian inference) for Day 2 of BAMB! 2022.

basic_python_training

bayesian_time_series

Machine Learning models using a Bayesian approach and often PyMC3

betaboost

A small wrapper to do Beta Boosting with XgBoost

blaze-forecaster

The package employs a combination of time series models: SARIMA and Prophet. Required installations to run the package: Stats models, Prophet.

blendergis

Blender addons to make the bridge between Blender and geographic data

blog

borb

borb is a library for reading, creating and manipulating PDF files in python.

caravan

caretforecast

Conformal Time Series Forecasting Using State of Art Machine Learning Algorithms

carmels

R interface for working with the CAMELS dataset (Newman et al, 2014; Addor et al, 2017)

causalimpact

An R package for causal inference in time series

challenge

Groundwater Time Series Modeling Challenge

cheatsheets

My cheatsheets

clearnessindex