Alternatives and similar repositories for neo4j-himym

Users that are interested in neo4j-himym are comparing it to the libraries listed below

• LucasEstevam / textSentimentViz
  Visualization of text sentiment using deep learning
  ☆43Updated 8 years ago
• dreyco676 / nlp_spark
  Natural Language Processing with Spark's MLlib
  ☆62Updated 7 years ago
• ottogroup / kaggle
  Additional files for the Otto Group Challenge hosted by Kaggle
  ☆37Updated 10 years ago
• alexisperrier / datatalks
  Public Machine Learning and Data Competition Repo
  ☆54Updated 9 years ago
• castanan / w2v
  Word2Vec models with Twitter data using Spark. Blog:
  ☆65Updated 6 years ago
• tdhopper / pydata-nyc-2015
  Understanding Probabilistic Topic Models with Simulation in Python
  ☆64Updated 7 years ago
• ContinuumIO / topik
  A Topic Modeling toolbox
  ☆92Updated 9 years ago
• manugarri / pydata_2016_talk_recommenders
  PyData Madrid 2016 material for the talk: A Primer to recommendation Systems
  ☆37Updated 9 years ago
• bdewilde / pygotham_2016
  code and slides for my PyGotham 2016 talk, "Higher-level Natural Language Processing with textacy"
  ☆15Updated 8 years ago
• Lab41 / soft-boiled
  Library for Geo-Inferencing in Twitter Data
  ☆28Updated 8 years ago
• h10r / topic_comparison_tool
  Using word2vec and t-SNE to compare text sources.
  ☆20Updated 9 years ago
• jdwittenauer / twitter-viz-demo
  Twitter visualizaton experiment using various python-based technologies.
  ☆60Updated 8 years ago
• stitchfix / context2vec
  Using Word2Vec on lists and sets
  ☆34Updated this week
• grfiv / healthcare_twitter_analysis
  Healthcare Twitter Analysis
  ☆26Updated 9 years ago
• janezkranjc / twitter-tap
  A python tool for collecting tweets in mongoDB using the search API
  ☆80Updated 2 years ago
• danielfrg / copper
  Fast, easy and intuitive machine learning prototyping.
  ☆124Updated 11 years ago
• amueller / pydata-nyc-advanced-sklearn
  Notebooks (and slides) for my PyData NYC 2014 tutorial on the more advanced features of scikit-learn.
  ☆69Updated 10 years ago
• arnicas / nlp_elasticsearch_reviews
  Dato/Turi DS Conf talk on NLP and Elasticsearch analysis of reviews, plus JS implementation
  ☆45Updated 8 years ago
• brakmic / Data-Science-for-Losers
  Articles on Data Science, Jupyter, and Pandas
  ☆18Updated 9 years ago
• cambridgecoding / pydata-tutorial
  Files for London PyData London, 2015
  ☆15Updated 9 years ago
• kickback / time_series_with_python
  ☆11Updated 8 years ago
• dwhitena / dockerized-DS-python
  A simple example of containerized data science with python and Docker.
  ☆51Updated 7 years ago
• bugra / pydata-seattle-2015
  Pydata Seattle 2015 Trend Estimation in Time Series Signals Deck + Notebooks
  ☆21Updated 9 years ago
• piskvorky / data_science_python
  Source code for the "Practical Data Science in Python" tutorial
  ☆58Updated 9 years ago
• zygmuntz / kaggle-happiness
  Predicting happiness from demographics and poll answers
  ☆45Updated 8 years ago
• GalvanizeDataScience / pipelines_and_featureunions
  An in depth tutorial on sklearn's Pipeline and FeatureUnion classes.
  ☆16Updated 8 years ago
• Lab41 / pythia
  Supervised learning for novelty detection in text
  ☆78Updated 8 years ago
• rhiever / webstep-sklearn-quickstart
  Scikit-learn quickstart tutorial for Webstep
  ☆19Updated 8 years ago
• fonnesbeck / pytenn2014_tutorial
  PyTennessee 2014: Statistical Data Analysis in Python
  ☆85Updated 10 years ago
• GaelVaroquaux / sklearn_pandas_tutorial
  EuroScipy 2014 tutorial: Introduction to predictive analytics with pandas and scikit-learn
  ☆85Updated 10 years ago