Alternatives and similar repositories for exploring-mllib-post

Users that are interested in exploring-mllib-post are comparing it to the libraries listed below

• diego898 / ipython_intro_hawaii
  ☆10Updated 9 years ago
• eidonfiloi / SparseRecurrentNetwork
  ☆10Updated 9 years ago
• glouppe / scikit-optimize
  Sequential model-based optimization with a `scipy.optimize` interface
  ☆15Updated 7 years ago
• zygmuntz / kaggle-advertised-salaries
  Predicting job salaries from ads - a Kaggle competition
  ☆55Updated 10 years ago
• zygmuntz / kaggle-rossmann
  Predicting sales with Pandas
  ☆15Updated 9 years ago
• Far0n / kaggle-lmgpip
  Top15 Solution for Kaggle-Competition "Liberty Mutual Group: Property Inspection Prediction"
  ☆50Updated 9 years ago
• charlsjoseph / PredictiveAnalatics-using-DL4j-and-ApacheSpark
  Predictive analatics using deepLearning4j and Spark
  ☆26Updated 8 years ago
• kastnerkyle / kaggle-criteo
  Code for Criteo competition http://www.kaggle.com/c/criteo-display-ad-challenge
  ☆22Updated 10 years ago
• lucastheis / nlpcaffe
  ☆29Updated 10 years ago
• MKLab-ITI / news-popularity-prediction
  A set of methods that predict the future values of popularity indices for news posts using a variety of features.
  ☆33Updated 7 years ago
• braz / pycon2016_talk
  The notes and slides from my PyCon Ireland 2016 PyData talk an introduction to gradient boosting
  ☆18Updated 8 years ago
• Jianqiang / embedding-matching-word-segmenter
  Code for the ACL-2015 paper "Accurate Linear-Time Chinese Word Segmentation via Embedding Matching"
  ☆38Updated 9 years ago
• da03 / lightlda
  Distributed LDA, takes raw text as input and outputs topic word table.
  ☆16Updated 9 years ago
• nlp-deepcbrs / amar
  Code for the paper "Ask Me Any Rating: A Content-based Recommender System based on Recurrent Neural Networks"
  ☆30Updated 7 years ago
• mkneierV / kaggle_avazu_benchmark
  Kaggle Avazu beat-the-benchmark model
  ☆36Updated 10 years ago
• trtm / DLBB
  DLBook Builder
  ☆44Updated 9 years ago
• sjwhitmore / pycon-kaggle-tutorial-2015
  My 2nd place submission (working with Kevin Goetsch) out of 28 teams at the Kaggle competition at PyCon2015.
  ☆23Updated 10 years ago
• qf6101 / multinomial-factorization-machines
  Multinomial Factorization Machines
  ☆21Updated 8 years ago
• alexeygrigorev / classifying-crisis-reports-dsc
  The top 10 solution to the "Growing Instability: Classifying Crisis Reports" challenge
  ☆21Updated 7 years ago
• witgo / spark
  Mirror of Apache Spark
  ☆11Updated last week
• glouppe / talk-bayesian-optimisation
  Talk on "Bayesian optimisation", beginner level
  ☆25Updated 9 years ago
• mazefeng / lightmf
  A light-weight matrix factorization tool
  ☆39Updated 7 years ago
• nikitasrivatsan / LatentDirichletAllocation
  ☆20Updated 3 years ago
• vicpara / exploratory-data-analysis
  Spark library for doing exploratory data analysis in a scalable way
  ☆43Updated 9 years ago
• rakesh-chinta / Advanced-Factorization-of-Machine-Systems
  GSOC 2017 - Apache Organization - # Implementation of Factorization Machines on Spark using parallel stochastic gradient descent (python…
  ☆14Updated 8 years ago
• rjagerman / glintlda
  Scalable Distributed LDA implementation for Spark & Glint
  ☆28Updated 8 years ago
• jwplayer / jwalk
  Cython implementation of DeepWalk
  ☆54Updated last year
• MLWave / Online-Random-Bit-Regression-FTRL
  Online Random Bit Regression with FTRL-Proximal in Python
  ☆75Updated 9 years ago
• gwulfs / Bastien-Theano-Workshop
  ☆44Updated 9 years ago
• coristig / sharks
  ☆10Updated 8 years ago