Alternatives and similar repositories for MapReduce-Based-Deep-Learning

Users that are interested in MapReduce-Based-Deep-Learning are comparing it to the libraries listed below

• charlsjoseph / PredictiveAnalatics-using-DL4j-and-ApacheSpark
  Predictive analatics using deepLearning4j and Spark
  ☆26Updated 9 years ago
• mesuvash / LRec
  Linear Recommender AAAI-16 code
  ☆21Updated 7 years ago
• MLWave / Online-Random-Bit-Regression-FTRL
  Online Random Bit Regression with FTRL-Proximal in Python
  ☆75Updated 10 years ago
• lipiji / PG_DEEP
  demo of deep belief nets
  ☆67Updated 10 years ago
• ragavvenkatesan / yann
  This toolbox is support material for the book on CNN (http://www.convolution.network).
  ☆42Updated 8 years ago
• muyinanhai / ad-preditor
  7th in a competition organised by ICT
  ☆24Updated 10 years ago
• Ian09 / CF-NADE
  A implementation of CF-NADE. Yin Zheng, et. al. "A Neural Autoregressive Approach to Collaborative Filtering", accepted by ICML 2016.
  ☆79Updated 7 years ago
• qf6101 / multinomial-factorization-machines
  Multinomial Factorization Machines
  ☆21Updated 9 years ago
• deeplearningparis / dl-rnn
  Recurrent Deep Learning Tutorials and examples: RNN, GRU, LSTM
  ☆55Updated 10 years ago
• apaszke / kaggle-grasp-and-lift
  Code for Kaggle EEG Detection competition
  ☆70Updated 10 years ago
• glouppe / talk-bayesian-optimisation
  Talk on "Bayesian optimisation", beginner level
  ☆25Updated 9 years ago
• xunzhang / parasol
  parameter server for ML algs
  ☆13Updated 12 years ago
• harvitronix / super-simple-distributed-keras
  A super simple way to do distributed hyperparameter tuning with Keras and Mongo
  ☆30Updated 8 years ago
• songgc / display-advertising-challenge
  Criteo/Kaggle Competition of CTR prediction
  ☆130Updated 11 years ago
• plofgren / bidirectional-random-walk
  Random Walk (Personalized PageRank) Algorithms for Large Graphs
  ☆74Updated 9 years ago
• freegraphics / MIDS
  Deep Learning Recommender System
  ☆53Updated 9 years ago
• ishank26 / nn_from_scratch
  Multilayer Neural Network using numpy.
  ☆55Updated 9 years ago
• kastnerkyle / kaggle-criteo
  Code for Criteo competition http://www.kaggle.com/c/criteo-display-ad-challenge
  ☆22Updated 11 years ago
• phunterlau / kaggle_higgs
  My winning solution for Kaggle Higgs Machine Learning Challenge (single classifier, xgboost)
  ☆82Updated 11 years ago
• arasharchor / RecSys-DAE-tensorflow
  Simple Recommender System using Denoising AutoEncoder, implemented using TensorFlow
  ☆16Updated 9 years ago
• yandexdataschool / sklearn-deeprl
  Deep reinforcement learning. In scikit-learn. In less than 50 effective lines.
  ☆54Updated 9 years ago
• tyler-tomita / RandomerForest
  Discriminant Projection Forest results, datasets, etc.
  ☆44Updated 6 years ago
• amirsaffari / online-multiclass-lpboost
  Online Multi-Class LPBoost and Gradient Boosting
  ☆68Updated 11 years ago
• MLWave / kaggle-criteo
  Kaggle Criteo https://www.kaggle.com/c/criteo-display-ad-challenge
  ☆97Updated 11 years ago
• freedomljc / Loan_Default_Prediction
  This is the Python Code for the submission to Kaggle's Loan Default Prediction by the ID "HelloWorld"
  ☆61Updated 11 years ago
• fluency03 / sequence-rnn-py
  Sequence analyzing using Recurrent Neural Networks (RNN) based on Keras
  ☆29Updated 9 years ago
• CNevd / Parallel-GBDT
  Parallel Gradient Boosting Decision Trees
  ☆21Updated 9 years ago
• zellyn / deeplearning-class-2011
  Code for Deep Learning class at Google
  ☆73Updated 14 years ago
• tobegit3hub / deep_q
  Deep reinforcement learning with TensorFlow
  ☆48Updated 8 years ago
• markusweimer / cofirank
  CofiRank
  ☆57Updated 13 years ago