MargrietGroenendijk

MargrietGroenendijk's Stars

• djzielin/babylonjs-mapping

  utilities to help display maps in babylonjs

  Language:TypeScript189

• PDAL/python

  PDAL's Python Support

  Language:C++11534

• tom-andersson/icenet-paper

  Code associated with the paper 'Seasonal Arctic sea ice forecasting with probabilistic deep learning'

  Language:Python8919

• TileDB-Inc/TileDB-CF-Py

  TileDB interface with awareness of the CF metadata conventions

  Language:Python193

• PDAL/PDAL

  PDAL is Point Data Abstraction Library. GDAL for point cloud data.

  Language:C++1.1k442

• TileDB-Inc/TileDB-Py

  Python interface to the TileDB storage engine

  Language:Python18534

• IBMDeveloperUK/Trusted-AI-Workshops

  Introduction to trusted AI. Learn to use fairness algorithms to reduce and mitigate bias in data and models with aif360 and explain models with aix360

  Language:Jupyter Notebook137

• IBMDeveloperUK/Python-Geopandas-Workshop

  In this workshop you will learn about pandas and geopandas by exploring UK Crime Data in a Jupyter notebook

  Language:Jupyter Notebook5729

• ozzael-codes/DS-Assets

  Language:Jupyter Notebook105

• Call-for-Code/Spot-Challenge-Wildfires

  http://ibm.biz/cfcsc-wildfires - predict the wildfire/bushfire area for 7 regions in Australia for each day in February 2021

  Language:Jupyter Notebook4130

• pandas-dev/pandas

  Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more

  Language:Python43.1k17.8k

• shap/shap

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

  Language:Jupyter Notebook22.4k3.2k

• mohmiim/MLIntroduction

  Introduction to ML using Tensorflow

  Language:Jupyter Notebook4611

• ulemanstreaming/BigChurn

  Language:Jupyter Notebook62

• Trusted-AI/AIF360

  A comprehensive set of fairness metrics for datasets and machine learning models, explanations for these metrics, and algorithms to mitigate bias in datasets and models.

  Language:Python2.4k827

• odpi/OpenDS4All

  OpenDS4All project, hosted by LF AI & Data

  Language:HTML674164

• IBMDeveloperUK/Python-Pandas-Workshop

  This workshop walks you though some of the most interesting features of pandas using structured data that contains information about the boroughs in London.

  Language:Jupyter Notebook2815

• Trusted-AI/AIX360

  Interpretability and explainability of data and machine learning models

  Language:Python1.6k304

• emeeks/d3_in_action_2

  Examples for D3.js in Action 2nd Edition (D3v4)

  Language:HTML428268

• the-pudding/data

  Data sets created for stories on The Pudding, open to the public.

  Language:HTML981247

• scikit-image/skimage-tutorials

  skimage-tutorials: a collection of tutorials for the scikit-image package.

  Language:Jupyter Notebook492372

• jorisvandenbossche/geopandas-tutorial

  Tutorial on geospatial data manipulation with Python

  Language:Jupyter Notebook424146

• euroscipy/www.euroscipy.org

  Landing page for EuroSciPy

  Language:JavaScript1319

• alicezheng/feature-engineering-book

  Code repo for the book "Feature Engineering for Machine Learning," by Alice Zheng and Amanda Casari, O'Reilly 2018

  Language:Jupyter Notebook1.4k670

• pydatabristol/meetups

  PyData Bristol meetup material

  155

• jackdbd/geoviews-geopython-2018

  Material for my talk "Approaching geovisualization and remote sensing with GeoViews" @ GeoPython 2018.

  Language:Jupyter Notebook1510

• altair-viz/altair-tutorial

  Notebooks for the Altair tutorial

  Language:Jupyter Notebook349133

• TomAugspurger/dask-tutorial-pycon-2018

  Language:Jupyter Notebook135104

• mamoonraja/analyze-call-center-calls-with-watson

  Hands-on Python + IBM Watson lab being presented at IBM Think2018 conference in March 2018

  Language:Jupyter Notebook1811

• fivethirtyeight/data

  Data and code behind the articles and graphics at FiveThirtyEight

  Language:Jupyter Notebook16.8k10.9k