Alternatives and similar repositories for Awesome-Distributed-ML

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

• MLWave / Kaggle_Rotten_Tomatoes
  Code to munge data between Kaggle .tsv Rotten Tomatoes Sentiment Analysis data set and Vowpal Wabbit
  ☆24Updated 11 years ago
• abhishekkrthakur / automl_gpu
  ☆25Updated 9 years ago
• mewwts / feng
  feng - feature engineering for machine-learning champions
  ☆27Updated 8 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
• zygmuntz / kaggle-rossmann
  Predicting sales with Pandas
  ☆15Updated 10 years ago
• maxpumperla / neuralforecast
  Time Series Prediction: A Non Linear Approach with Neural Networks
  ☆33Updated 9 years ago
• ririw / ririw.github.io
  Pages
  ☆35Updated 2 years ago
• paulperry / kaggle
  Kaggle competition results
  ☆20Updated 6 years ago
• harvitronix / super-simple-distributed-keras
  A super simple way to do distributed hyperparameter tuning with Keras and Mongo
  ☆30Updated 8 years ago
• jmschrei / notebooks
  Various notebooks and tutorials on subjects of interest.
  ☆36Updated 5 years ago
• PiSimo / DeepChart
  Generate images of neural network achitectures.
  ☆19Updated 8 years ago
• nagadomi / kaggle-lshtc
  Code for Large Scale Hierarchical Text Classification competition. Final place: 3rd
  ☆37Updated 11 years ago
• JoeriHermans / master-thesis
  My Master Thesis on Distributed Deep Learning (parallelizing gradient descent) and other concepts I did during my research.
  ☆26Updated 8 years ago
• alvarouc / mlp
  Multilayer Perceptron Keras wrapper for sklearn
  ☆69Updated 3 years ago
• MLWave / kaggle_acquire-valued-shoppers-challenge
  Code for the Kaggle acquire valued shoppers challenge
  ☆66Updated 11 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
• 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
• zlosa / TPOT_Kaggle
  Datasets and notebooks
  ☆13Updated 9 years ago
• yandexdataschool / MLatGradDays
  Course of Machine Learning in Science and Industry at Heidelberg university
  ☆47Updated 8 years ago
• braz / pycon2016_talk
  The notes and slides from my PyCon Ireland 2016 PyData talk an introduction to gradient boosting
  ☆18Updated 9 years ago
• yandexdataschool / sklearn-deeprl
  Deep reinforcement learning. In scikit-learn. In less than 50 effective lines.
  ☆54Updated 8 years ago
• amueller / advanced-sklearn-boston-nlp-2016
  Material and slides for Boston NLP meetup May 23rd 2016
  ☆17Updated 9 years ago
• jwplayer / jwalk
  Cython implementation of DeepWalk
  ☆53Updated 2 years ago
• dusano / DeepLearning
  Python implementation of UFLDL tutorial code
  ☆24Updated 11 years ago
• Azure / fast_retraining
  Show how to perform fast retraining with LightGBM in different business cases
  ☆54Updated 6 years ago
• RobeDM / LIBIRWLS
  A parallel IRWLS library to solve SVMs and budgeted SVMs
  ☆59Updated 8 years ago
• dipanjanS / BerkeleyX-CS190.1x-Scalable-Machine-Learning
  This repository contains code files specifically IPython notebooks for the assignments in the course "Scalable Machine Learning" by UC Be…
  ☆31Updated 10 years ago
• CarsonScott / Competitive-Feature-Learning
  Online feature-extraction and classification algorithm that learns representations of input patterns.
  ☆31Updated 8 years ago
• Kyubyong / integer_sequence_learning
  RNN Approaches to Integer Sequence Learning--the famous Kaggle competition
  ☆28Updated 8 years ago
• MLWave / normalized-compression-neighbors
  Document or binary file vectorization with Normalized Compression Distance in Python.
  ☆17Updated 10 years ago