Alternatives and similar repositories for nips-2015-papers

Users that are interested in nips-2015-papers are comparing it to the libraries listed below

• yhat / beer-bandit
  Flask app to run a bandit algorithm testing different beer recommenders
  ☆25Updated 11 years ago
• tdhopper / udacity-deep-learning
  Install directions and example notebooks for Udacity's Deep Learning classes
  ☆28Updated 9 years ago
• nasa-jpl-memex / topic_space
  Topic modeling web application
  ☆40Updated 10 years ago
• datamicroscopes / lda
  Latent dirichlet allocation (LDA) for datamicroscopes
  ☆41Updated 10 years ago
• zygmuntz / kaggle-rossmann
  Predicting sales with Pandas
  ☆15Updated 10 years ago
• rhiever / MarkovNetwork
  Python implementation of Markov Networks for neural computing.
  ☆38Updated 9 months ago
• grfiv / healthcare_twitter_analysis
  Healthcare Twitter Analysis
  ☆26Updated 9 years ago
• srikris / datascience-bowl
  National Data Science Bowl
  ☆20Updated 10 years ago
• drivendataorg / drivendata-submission-validator
  Simple validator for submissions to DrivenData competitions
  ☆19Updated 6 years ago
• stitchfix / Algorithms-Notebooks
  Algorithm's team Jupyter Notebooks
  ☆113Updated 6 months ago
• glouppe / talk-pydata2015
  Talk on "Tree models with Scikit-Learn: Great learners with little assumptions" presented at PyPata Paris 2015
  ☆50Updated 10 years ago
• fastforwardlabs / hello_deep_learning
  Example scripts for various deep learning APIs.
  ☆27Updated 10 years ago
• echen / minifolds
  ggplot2-inspired d3 app to make instant interactive visualizations
  ☆55Updated 13 years ago
• szilard / xgboost-adv-workshop-LA
  Advanced workshop on XGBoost with Tianqi Chen in Santa Monica, June 2, 2016
  ☆27Updated 9 years ago
• danielfrg / copper
  Fast, easy and intuitive machine learning prototyping.
  ☆124Updated 11 years ago
• wildtreetech / advanced-comp-2017
  💻 Material for a course on applied machine-learning for scientists. Taught at EPFL in spring 2017
  ☆23Updated 8 years ago
• ezubaric / TM_applications_book
  A book on the applications of topic models.
  ☆14Updated 8 years ago
• krasch / presentations
  Material for some talks I have given
  ☆62Updated last year
• mikekestemont / DeepScript
  Code for the DeepScript Submission to ICFHR2016 Competition on the Classification of Medieval Handwritings in Latin Script
  ☆17Updated 9 years ago
• djsutherland / skl-groups
  scikit-learn addon to operate on set/"group"-based features
  ☆41Updated 9 years ago
• rezazadeh / spark
  Mirror of Apache Spark
  ☆24Updated 10 years ago
• LucasEstevam / textSentimentViz
  Visualization of text sentiment using deep learning
  ☆43Updated 9 years ago
• paulperry / kaggle
  Kaggle competition results
  ☆20Updated 6 years ago
• amueller / pydata-amsterdam-2016
  Machine Learning with Scikit-Learn (material for pydata Amsterdam 2016)
  ☆30Updated 9 years ago
• alexandraj777 / machine-learning-samples
  Sample applications built using AWS' Amazon Machine Learning.
  ☆51Updated 8 years ago
• probprog / bopp
  BOPP: Bayesian Optimization for Probabilistic Programs
  ☆114Updated 8 years ago
• syhw / DL4H
  Deep learning for hackers: a hands-on approach to machine learning and deep learning.
  ☆67Updated 10 years ago
• DeloitteHux-Old / proficiency-metric
  ☆28Updated 9 years ago
• dmarx / Topological-Anomaly-Detection
  Topological Anomaly Detection (TAD) per Gartley and Basener 2009
  ☆68Updated 5 years ago
• GalvanizeDataScience / pipelines_and_featureunions
  An in depth tutorial on sklearn's Pipeline and FeatureUnion classes.
  ☆16Updated 8 years ago