Alternatives and similar repositories for Awesome-Distributed-ML

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

• abhishekkrthakur / automl_gpu
  ☆25Updated 9 years ago
• jmschrei / notebooks
  Various notebooks and tutorials on subjects of interest.
  ☆36Updated 5 years ago
• zygmuntz / kaggle-rossmann
  Predicting sales with Pandas
  ☆15Updated 10 years ago
• dlsys-course / lab1
  ☆15Updated 7 years ago
• MLWave / Kaggle_Rotten_Tomatoes
  Code to munge data between Kaggle .tsv Rotten Tomatoes Sentiment Analysis data set and Vowpal Wabbit
  ☆24Updated 11 years ago
• yandexdataschool / MLatGradDays
  Course of Machine Learning in Science and Industry at Heidelberg university
  ☆47Updated 8 years ago
• alexander-rakhlin / Yelp
  Yelp Restaurant Photo Classification - Kaggle competition
  ☆12Updated 6 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 8 years ago
• alno / batch-learn
  ☆49Updated 7 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
• mesuvash / LRec
  Linear Recommender AAAI-16 code
  ☆21Updated 7 years ago
• nagadomi / kaggle-lshtc
  Code for Large Scale Hierarchical Text Classification competition. Final place: 3rd
  ☆37Updated 11 years ago
• MLWave / normalized-compression-neighbors
  Document or binary file vectorization with Normalized Compression Distance in Python.
  ☆17Updated 10 years ago
• paulperry / kaggle
  Kaggle competition results
  ☆20Updated 7 years ago
• zlosa / TPOT_Kaggle
  Datasets and notebooks
  ☆13Updated 9 years ago
• zygmuntz / kaggle-burn-cpu
  Code for the "Burn CPU, burn" competition at Kaggle. Uses Extreme Learning Machines and hyperopt.
  ☆33Updated 11 years ago
• yandexdataschool / sklearn-deeprl
  Deep reinforcement learning. In scikit-learn. In less than 50 effective lines.
  ☆54Updated 9 years ago
• Avmb / lowrank-gru
  Gated Recurrent Unit with Low-rank matrix factorization
  ☆34Updated 9 years ago
• maxpumperla / neuralforecast
  Time Series Prediction: A Non Linear Approach with Neural Networks
  ☆33Updated 9 years ago
• ChrisRackauckas / TBEEF
  TBEEF, a doubly ensemble framework for recommendation and prediction problems.
  ☆20Updated 9 years ago
• fridiculous / estimators
  Machine Learning Versioning made Simple
  ☆38Updated 3 years ago
• jwplayer / jwalk
  Cython implementation of DeepWalk
  ☆53Updated 2 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 5 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
• ririw / ririw.github.io
  Pages
  ☆35Updated 3 years ago
• MLWave / kaggle_acquire-valued-shoppers-challenge
  Code for the Kaggle acquire valued shoppers challenge
  ☆66Updated 11 years ago
• alexeygrigorev / nips-ad-placement-challenge
  The winning solution to the Ad Placement Challenge (NIPS'17 Causal Inference and Machine Learning Workshop)
  ☆38Updated 8 years ago
• crowdAI / crowdai-criteo-ad-placement-challenge-starter-kit
  Starter kit for getting started in the NIPS 2017 Criteo Ad Placement Challenge
  ☆18Updated 8 years ago
• MLWave / Online-Random-Bit-Regression-FTRL
  Online Random Bit Regression with FTRL-Proximal in Python
  ☆75Updated 10 years ago