Alternatives and similar repositories for ml2018:

Users that are interested in ml2018 are comparing it to the libraries listed below

• amueller / structured-prediction-workshop
  Introduction to structured prediction with Python and pystruct
  ☆18Updated 6 years ago
• adeshpande3 / NLP-Stuff
  Programs with word vectors, RNN, NLP stuff, etc
  ☆18Updated 8 years ago
• rsibi / Springboard
  Springboard - Data Science Intensive course
  ☆13Updated 8 years ago
• davidrosenberg / ml2019
  DS-GA 1003: Machine Learning Course Webpage
  ☆16Updated 2 years ago
• fonnesbeck / pytenn2014_tutorial
  PyTennessee 2014: Statistical Data Analysis in Python
  ☆85Updated 10 years ago
• Shujian2015 / Kaggle-Mercari
  32/2384 Solution to Kaggle Mercari Competition (solo silver medal winner)
  ☆20Updated 7 years ago
• paulperry / kaggle
  Kaggle competition results
  ☆20Updated 6 years ago
• crowd-course / datascience
  Crowd Course Data Science course project
  ☆26Updated 8 years ago
• amueller / advanced-sklearn-boston-nlp-2016
  Material and slides for Boston NLP meetup May 23rd 2016
  ☆17Updated 8 years ago
• fonnesbeck / gp_tutorial_pydata
  PyData San Luis 2017 Tutorial: An Introduction to Gaussian Processes in PyMC3
  ☆15Updated 7 years ago
• mennanov / nlp-coursera
  Introduction to Natural Language Processing by Dragomir R. Radev, Ph.D.
  ☆10Updated 9 years ago
• zygmuntz / kaggle-rossmann
  Predicting sales with Pandas
  ☆15Updated 9 years ago
• zygmuntz / kaggle-amazon
  Amazon access control challenge
  ☆25Updated 10 years ago
• thomasjpfan / skconfig
  Experimental library for sampling and validating scikit-learn parameters
  ☆10Updated 5 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
• drivendata / boxplots-for-education-1st-place
  ☆14Updated 10 years ago
• ujjwalkarn / deeplearning-papernotes
  Summaries and notes on Deep Learning research papers
  ☆32Updated 8 years ago
• the-deep-learners / nyc-ds-academy
  In-class exercises for Deep Learning course at NYC Data Science Academy
  ☆32Updated 7 years ago
• kk7nc / Deep-Learning-NLP
  Organized Resources for Deep Learning in Natural Language Processing
  ☆10Updated 6 years ago
• GaelVaroquaux / interpreting_ml_tuto
  Tutorial on interpreting and understanding machine learning models
  ☆68Updated 6 years ago
• lazyprogrammer / big_data_class
  ☆10Updated 8 years ago
• CamDavidsonPilon / PyDataNY_2019_tutorial
  Repo for PyData 2019 Tutorial - New Trends in Estimation and Inference
  ☆26Updated 5 years ago
• jayinai / how-to-kaggle
  A research into the workflow for Kaggle competition (and data science in general) collaboratively
  ☆47Updated 8 years ago
• ChicagoBoothML / ML2016
  BUS 41204: Machine Learning -- Winter 2016
  ☆11Updated 8 years ago
• yandexdataschool / MLatGradDays
  Course of Machine Learning in Science and Industry at Heidelberg university
  ☆47Updated 7 years ago
• lanttern / Recommender-System
  Coursera
  ☆12Updated 9 years ago
• wookayin / TensorflowKR-2016-talk-debugging
  A talk on TensorFlow debugging -- REPOSITORY MOVED TO:
  ☆8Updated 8 years ago
• jdwittenauer / kaggle
  Repository for code used in Kaggle competitions.
  ☆22Updated 6 years ago
• mpearmain / gestalt
  A helper library for data science pipeline
  ☆36Updated 5 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