Alternatives and similar repositories for kdd-2018

Users that are interested in kdd-2018 are comparing it to the libraries listed below

• gpuopenanalytics / demo-docker
  Demo notebooks inside a docker for end-to-end examples
  ☆112Updated 7 years ago
• h2oai / perf
  Performance Benchmarks
  ☆21Updated last year
• rapidsai / dask-cudf
  [ARCHIVED] Dask support for distributed GDF object --> Moved to cudf
  ☆137Updated 6 years ago
• ioam / jupytercon2017-holoviews-tutorial
  HoloViews+Bokeh tutorial for JupyterCon 2017
  ☆51Updated 3 years ago
• woobe / odsc_h2o_machine_learning
  Materials for Machine Learning with H2O Open Platform at ODSC Masterclass Summit 2017
  ☆12Updated 8 years ago
• RAMitchell / GBM-Benchmarks
  ☆23Updated 5 years ago
• dask / dask-tensorflow
  ☆92Updated 5 years ago
• rapidsai / cudf-alpha
  [ARCHIVED] cuDF [alpha] - RAPIDS Merge of GoAi into cuDF
  ☆35Updated 7 years ago
• dask / dask-glm
  ☆75Updated last year
• dask / dask-xgboost
  ☆161Updated 4 years ago
• gapatino / Making-Your-Code-Faster-Cython-and-parallel-processing-in-the-Jupyter-Notebook
  Jupyter Notebook for PyData DC 2016 on "Making Your Code Faster: Cython and parallel processing in the Jupyter Notebook"
  ☆12Updated 9 years ago
• algobeans / Time-Series-Forecasting
  Code to 1) scrap wikipedia page view counts, and to 2) conduct time series analysis with GAM
  ☆47Updated 8 years ago
• gapatino / Doing-frequentist-statistics-with-Scipy
  Repository for the PyData DC 2016 tutorial
  ☆29Updated 9 years ago
• TomAugspurger / mtg
  Materials for my talk at PyData Chicago 2016
  ☆20Updated 8 years ago
• paulperry / kaggle
  Kaggle competition results
  ☆20Updated 6 years ago
• amueller / talks_odt
  Slides and materials for most of my talks by year
  ☆92Updated 2 years ago
• wesm / vldb-2019-apache-arrow-workshop
  Materials for Apache Arrow workshop at VLDB 2019
  ☆42Updated 5 years ago
• TomAugspurger / dask-tutorial-pycon-2018
  ☆135Updated 6 years ago
• rapidsai / cloud-ml-examples
  A collection of Machine Learning examples to get started with deploying RAPIDS in the Cloud
  ☆144Updated last year
• d18s / awesome-machine-learning-engineering
  A curated list of articles, papers and tools for managing the building and deploying of machine learning models, aka machine learning eng…
  ☆19Updated 7 years ago
• jbwhit / data-science-teams
  Miscellaneous Jupyter Notebooks for my course.
  ☆24Updated 9 years ago
• amueller / patsylearn
  Patsy Adaptors for Scikit-learn
  ☆48Updated 6 years ago
• dask / old-dask-examples
  Collection of dask example notebooks
  ☆57Updated 7 years ago
• jupyterlab / jupytercon-jupyterlab-tutorial
  JupyterCon 2018 JupyterLab tutorial
  ☆21Updated 7 years ago
• DataForScience / RNN
  Recurrent Neural Networks for Timeseries
  ☆24Updated 6 years ago
• xdssio / big_data_benchmarks
  big data technologies comparisons for cleaning, manipulating and generally wrangling data in purpose of analysis and machine learning.
  ☆65Updated 5 years ago
• amueller / advanced-sklearn-boston-nlp-2016
  Material and slides for Boston NLP meetup May 23rd 2016
  ☆17Updated 9 years ago
• rapidsai / integration
  RAPIDS - combined conda package & integration tests for all of RAPIDS libraries
  ☆17Updated 2 weeks ago
• rapidsai / plotly-dash-rapids-census-demo
  ☆97Updated 2 years ago
• vaexio / vaex-talks
  Talks about vaex
  ☆36Updated 3 years ago