sonthuybacha Goto Github PK

100-days-of-ml-code

100 Days of ML Coding

12-month-forecast-with-lstm

This is an example of LSTM used to forecast the next 12 months on the Air Passengers dataset.

2019-feature-selection

Research project

2019_opengeohub_machine-learning-madlene

OpenGeoHub Summer School: Mastering Machine Learning - Lecture and Training

2020_analysis_of_big_earth_data_with_jupyter

This repository hosts the Jupyter notebooks developed for the lecture on 'Analysis of Big Earth Data with Jupyter notebooks' during the OpenGeoHub Summer School 2020.

30daymapchallenge

Official repo for the #30DayMapChallenge data visualization project. Open to everyone!

30daymapchallenge-bot

Monitoring #30DayMapChallenge on Twitter

500-ai-machine-learning-deep-learning-computer-vision-nlp-projects-with-code

500 AI Machine learning Deep learning Computer vision NLP Projects with code

adv_py_scripting_for_gis_course

430.618.81 - Advanced Python Scripting for GIS

advent_of_code_2020

aerial_wildlife_detection

Tools for detecting wildlife in aerial images using active learning

ai-and-machine-learning-workshop-in-paschimanchal-campus

Collection of notebook and slides for AI workshop , WRC Pokhara

amazing-feature-engineering

Feature engineering is the process of using domain knowledge to extract features from raw data via data mining techniques. These features can be used to improve the performance of machine learning algorithms. Feature engineering can be considered as applied machine learning itself.

animated_bar_charts_in_r

Code to demo how to build Animated Bar Charts in R

anomalydetection

Anomaly Detection with R

awesome-forests

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

awesome-functional-python

awesome-geospatial-companies

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

awesome-image-classification

A curated list of deep learning image classification papers and codes

awesome-open-climate-science

Awesome Open Atmospheric, Ocean, and Climate Science

awesome-python

A curated list of awesome Python frameworks, libraries, software and resources

awesome-r

A curated list of awesome R frameworks, packages and software.

awesome-readme-templates

A collection of awesome readme templates to display on your github profile.

awesome-remote-sensing-change-detection

List of datasets, codes, papers, and contests related to remote sensing change detection

awesome-sar

A curated list of awesome Synthetic Aperture Radar (SAR) software, libraries, and resources.

awesome-satellite-imagery-datasets

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

bako

My scripts on R

bayts

Set of tools to apply the probabilistic approach of Reiche et al. (2015, 2018) to combine multiple optical and/or Radar satellite time series and to detect deforestation/forest cover loss in near real-time. The package includes functions to apply the approach to both, single pixel time series and raster time series. Examples and test data are provided below.

bbplot

R package that helps create and export ggplot2 charts in the style used by the BBC News data team

beginner_scraping