Alternatives and similar repositories for Awesome-Distributed-ML

Users that are interested in Awesome-Distributed-ML are comparing it to the libraries listed below

• mewwts / feng
  feng - feature engineering for machine-learning champions
  ☆27Updated 8 years ago
• MLWave / Kaggle_Rotten_Tomatoes
  Code to munge data between Kaggle .tsv Rotten Tomatoes Sentiment Analysis data set and Vowpal Wabbit
  ☆24Updated 10 years ago
• abhishekkrthakur / automl_gpu
  ☆25Updated 9 years ago
• jmschrei / notebooks
  Various notebooks and tutorials on subjects of interest.
  ☆36Updated 4 years ago
• Mega-DatA-Lab / SpectralLDA-Spark
  Tensor-based Spectral LDA on Spark
  ☆18Updated 6 years ago
• dlsys-course / lab1
  ☆15Updated 7 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
• JoeriHermans / master-thesis
  My Master Thesis on Distributed Deep Learning (parallelizing gradient descent) and other concepts I did during my research.
  ☆26Updated 7 years ago
• zygmuntz / kaggle-rossmann
  Predicting sales with Pandas
  ☆15Updated 9 years ago
• mllite / sklearn_explain
  Model explanation provides the ability to interpret the effect of the predictors on the composition of an individual score.
  ☆13Updated 4 years ago
• CalculatedContent / big_deep_simple_mlp
  ☆14Updated 8 years ago
• michaelulin / pytorch-caffe2-aws-lambda
  Serving PyTorch Models on AWS Lambda with Caffe2 & ONNX
  ☆47Updated 7 years ago
• tapanalyticstoolkit / spark-tk
  Python and Scala APIs for enhanced Spark analytics
  ☆12Updated 8 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
• 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
• zygmuntz / kaggle-amazon
  Amazon access control challenge
  ☆25Updated 10 years ago
• mayconbordin / adpredictor-java
  Java implementation of the Microsoft's AdPredictor algorithm
  ☆17Updated 7 years ago
• DeepLearningDTU / nvidia_deep_learning_summercamp_2016
  Lasagne / Theano tutorials for Nvidia Deep Learning Summercamp 2016
  ☆26Updated 8 years ago
• amplab / MLI
  An API for Distributed Machine Learning
  ☆154Updated 8 years ago
• mengxr / spark-vl-bfgs
  Vector-free L-BFGS implementation on Spark
  ☆9Updated 9 years ago
• zygmuntz / kaggle-advertised-salaries
  Predicting job salaries from ads - a Kaggle competition
  ☆55Updated 10 years ago
• amueller / structured-prediction-workshop
  Introduction to structured prediction with Python and pystruct
  ☆18Updated 6 years ago
• xiaoganghan / awesome-feature-engineering
  A curated list of feature engineering techniques for image and text machine learning
  ☆50Updated 8 years ago
• fastai / dlcert1
  Deep learning certificate part 1
  ☆10Updated 3 years ago
• crowdAI / crowdai-criteo-ad-placement-challenge-starter-kit
  Starter kit for getting started in the NIPS 2017 Criteo Ad Placement Challenge
  ☆19Updated 7 years ago
• shashankg7 / Visual-Question-Answering
  Visual Question Answering system's different implementations
  ☆10Updated 8 years ago
• amueller / advanced-sklearn-boston-nlp-2016
  Material and slides for Boston NLP meetup May 23rd 2016
  ☆17Updated 8 years ago
• fabianp / ProxASAGA
  Proximal Asynchronous SAGA
  ☆12Updated 7 years ago
• paulperry / kaggle
  Kaggle competition results
  ☆20Updated 6 years ago
• peterwilliams97 / nlp-class
  Notes from Stanford NLP class
  ☆24Updated 12 years ago