rsmahabir Goto Github PK
Name: Islander
Type: User
Bio: Bits and pieces of geographical data science
Name: Islander
Type: User
Bio: Bits and pieces of geographical data science
A Python implementation of Jerome Friedman's Multivariate Adaptive Regression Splines
Py3plex - A multilayer complex network visualization and analysis library in python3
Example notebooks of the PyLandStats library
Pure Python Spell Checking http://pyspellchecker.readthedocs.io/en/latest/
Python 3+ version of python-calais (https://code.google.com/p/python-calais/)
Markdown files containing the Homeworks and Chapters included in the HarvardX course, Using Python for Research.
:droplet: This repository holds a list of open source Python packages interesting to Hydrologists
Learning Python Programming
Python wrapper for Stanford CoreNLP's SUTime
Implementation of various topic models
https://www.youtube.com/channel/UC34rW-HtPJulxr5wp2Xa04w?sub_confirmation=1
Python Data Science Handbook: full text in Jupyter Notebooks
A university quantum algorithms/computation course supplement based on Qiskit
Natural language parsing of dates and recurring events
This repository contains the implementation of paper Temporal Fusion Transformers for Interpretable Multi-horizon Time Series Forecasting with different loss functions in Tensorflow. We have compared 14 regression loss functions performance on 4 different datasets.
Lecture tutorials on various topics in remote sensing
Remote sensing related lectures and tutorials
Replication of "Quantifying Trading Behavior in Financial Markets Using Google Trends" by Preis et al 2013
Google Earth Engine for R
Ridge plots of ridges
Python class to scrape data from rightmove.co.uk and return listings in a pandas DataFrame object
My directory of R packages for data analysis and visualization, Bayesian statistics, mapping, GIS, climate, Species Distribution Modelling, ecology, etc
Implementation of Machine Learning and Deep Learning techniques to find insights from the satellite data.
Data and code for the paper "Remote Sensing-Based Measurement of Living Environment Deprivation - Improving Classical Approaches with Machine Learning", by Dani Arribas-Bel, Jorge Patiño and Juanca Duque
Scraping USNews College Ranking data, Python
A Python package for segmenting geospatial data with the Segment Anything Model (SAM)
Shapash makes Machine Learning models transparent and understandable by everyone
Course materials for the 2019 version of the Geo-Python course at the University of Helsinki, Finland
Satellite image time series in R
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.