Alternatives and similar repositories for gsw_passing_network

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

• klarsen1 / NBA_RANKINGS
  ☆74Updated 5 years ago
• gjreda / pydata2015sea
  Materials for my PyData Seattle talk
  ☆21Updated 10 years ago
• gjreda / cy-young-NL-2015
  Using data to dig into the 2015 NL Cy Young race
  ☆10Updated 9 years ago
• arnupretorius / RWCPrediction
  R files containing the code used to predict rugby world cup matches
  ☆10Updated 10 years ago
• thirdwing / mxnet_shiny
  Image Classification using MXNetR
  ☆56Updated 8 years ago
• 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
• savvastj / nbaPlayerTracking
  ☆53Updated 10 years ago
• szilard / xgboost-adv-workshop-LA
  Advanced workshop on XGBoost with Tianqi Chen in Santa Monica, June 2, 2016
  ☆26Updated 8 years ago
• joshloyal / pydata-amazon-products
  Code for PyData Talk on "Classifying Products Based on Images and Text using Keras"
  ☆30Updated 8 years ago
• tfolkman / learningwithdata
  Code for Learning with Data Blog
  ☆64Updated 8 years ago
• klarsen1 / Information
  Information Package
  ☆44Updated 9 years ago
• tomasgreif / woe
  R Package - calculate Information Value and WoE (Weight of Evidence)
  ☆30Updated 6 years ago
• glamp / mlb-payroll-and-wins
  FiveThirtyEight replica
  ☆17Updated 10 years ago
• hetong007 / pullword
  An R package for pullword.com
  ☆19Updated 4 years ago
• amunategui / SimpleEnsembleBlending
  Ensemble/Blender example in R using Caret (companion code for YouTube video: https://www.youtube.com/watch?v=k7sTiTWWCXM)
  ☆11Updated 11 years ago
• bwilbertz / RLightGBM
  R Interface for LightGBM
  ☆46Updated 7 years ago
• CODAIT / r4ml
  Scalable R for Machine Learning
  ☆43Updated 7 years ago
• woobe / deepr
  An R package to streamline the training, fine-tuning and predicting processes for deep learning based on 'darch' and 'deepnet'.
  ☆46Updated 10 years ago
• yixuan / rARPACK
  Solvers for Large Scale Eigenvalue and SVD Problems
  ☆45Updated 9 years ago
• seanjtaylor / learning-the-draft
  Machine Learning the NFL Draft
  ☆19Updated 9 years ago
• trestletech / Sermon-Sentiment-Analysis
  Code used to compare sentiments of various sermons
  ☆24Updated 13 years ago
• robjhyndman / anomalous
  Anomalous time series package for R
  ☆93Updated 7 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
• mlandry22 / kaggle
  Public Kaggle Code and Info
  ☆43Updated 10 years ago
• szilard / ml-prod
  Some thoughts on how to use machine learning in production
  ☆72Updated 8 years ago
• vmirly / DataScience
  ☆66Updated 2 years ago
• wush978 / FeatureHashing
  Implement feature hashing with R
  ☆97Updated last year
• tanyaschlusser / office-nfl-pool
  A fun introduction to Pandas andScikit-Learn using nfl data
  ☆45Updated 9 years ago
• elbamos / Zeppelin-With-R
  Mirror of Apache Zeppelin (Incubating)
  ☆44Updated 9 years ago
• WLOGSolutions / telco-customer-churn-in-r-and-h2o
  Showcase for using H2O and R for churn prediction (inspired by ZhouFang928 examples)
  ☆58Updated 8 years ago