Alternatives and similar repositories for SciPy_2016

Users that are interested in SciPy_2016 are comparing it to the libraries listed below

• padamson / rwml-R
  R code to accompany Henrik Brink, Joseph W. Richards, and Mark Fetherolf's book "Real-World Machine Learning"
  ☆61Updated 3 years ago
• INFO-474 / m7-d3-intro
  Module 7: Introduction to D3.js
  ☆21Updated 9 years ago
• thirdwing / mxnet_shiny
  Image Classification using MXNetR
  ☆56Updated 8 years ago
• aloysius-lim / bigrf
  Random forests for R for large data sets, optimized with parallel tree-growing and disk-based memory
  ☆91Updated 10 years ago
• AmeliaMN / DS_for_S
  Materials for March 12 ENAR short course on Data Science for Statisticians
  ☆47Updated 8 years ago
• dsaber / py-viz-blog
  Code for Pythonic visualization blog post
  ☆40Updated 8 years ago
• AllenDowney / BayesForUndergrads
  Materials for a workshop on developing undergraduate classes on Bayesian statistics.
  ☆47Updated 9 years ago
• glouppe / talk-pydata2015
  Talk on "Tree models with Scikit-Learn: Great learners with little assumptions" presented at PyPata Paris 2015
  ☆50Updated 10 years ago
• CODAIT / r4ml
  Scalable R for Machine Learning
  ☆43Updated 7 years ago
• amueller / odsc_east_2016
  ☆26Updated 9 years ago
• WinVector / ExploreModels
  Code and data for "The Geometry of Classifiers"
  ☆26Updated 5 years ago
• bwlewis / GLM
  Notes on generalized linear models
  ☆109Updated 7 years ago
• vmirly / DataScience
  ☆66Updated 2 years ago
• zatonovo / deep_learning_ex
  Deep learning examples
  ☆13Updated 8 years ago
• rlabbe / statistical-rethinking
  Notebooks containing R code from Richard McElreath's Statistical Rethinking
  ☆71Updated 9 years ago
• bwilbertz / RLightGBM
  R Interface for LightGBM
  ☆46Updated 8 years ago
• szilard / xgboost-adv-workshop-LA
  Advanced workshop on XGBoost with Tianqi Chen in Santa Monica, June 2, 2016
  ☆26Updated 8 years ago
• tdhopper / pydata-nyc-2015
  Understanding Probabilistic Topic Models with Simulation in Python
  ☆64Updated 8 years ago
• amunategui / BetterCrossValidation
  Companion code for YouTube video: https://www.youtube.com/watch?v=Og7CGAfSr_Y&feature=youtu.be
  ☆23Updated 11 years ago
• rajshah4 / tensorflow_shiny
  A R/Shiny app for interactive RNN tensorflow models
  ☆118Updated 9 years ago
• gbm-developers / gbm3
  Gradient boosted models
  ☆145Updated last year
• bikestra / bdapy
  Reproducing plots of Bayesian Data Analysis (Gelman et al, 3rd Edition) in Python
  ☆45Updated 10 years ago
• maddin79 / darch
  Create deep architectures in the R programming language
  ☆71Updated 7 years ago
• tfolkman / learningwithdata
  Code for Learning with Data Blog
  ☆64Updated 8 years ago
• pprett / pydata-gbrt-tutorial
  IPython notebook for PyData SF 2014 tutorial: "Gradient Boosted Regression Trees in scikit-learn"
  ☆63Updated 8 years ago
• ptoulis / implicit-sgd
  Using stochastic gradient descent (SGD) with explicit and implicit updates to fit large-scale statistical models.
  ☆16Updated 11 years ago
• tdhopper / udacity-deep-learning
  Install directions and example notebooks for Udacity's Deep Learning classes
  ☆28Updated 9 years ago
• szilard / benchm-databases
  A minimal benchmark of various tools (statistical software, databases etc.) for working with tabular data of moderately large sizes (inte…
  ☆89Updated 8 years ago
• ramnathv / rNotebook
  A browser based R Notebook
  ☆125Updated 12 years ago
• chdoig / dss-scaling-tutorial
  ☆28Updated 9 years ago