Alternatives and similar repositories for Algorithms-Notebooks

Users that are interested in Algorithms-Notebooks are comparing it to the libraries listed below

• fastforwardlabs / hello_deep_learning
  Example scripts for various deep learning APIs.
  ☆28Updated 9 years 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
• alexisperrier / datatalks
  Public Machine Learning and Data Competition Repo
  ☆54Updated 9 years ago
• tfolkman / learningwithdata
  Code for Learning with Data Blog
  ☆64Updated 8 years ago
• ContinuumIO / topik
  A Topic Modeling toolbox
  ☆92Updated 9 years ago
• maxcw / time-maps
  PDF and python files for creating time maps and downloading tweets
  ☆59Updated 5 years ago
• arnicas / NLP-in-Python
  Intro to some NLP concepts in Python for a class
  ☆96Updated 10 years ago
• jackgolding / FullStackDataAnalysis
  Presentation at Perth Data Science Meetup, February 2015
  ☆72Updated 10 years ago
• manugarri / pydata_2016_talk_recommenders
  PyData Madrid 2016 material for the talk: A Primer to recommendation Systems
  ☆37Updated 9 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
• amueller / pydata-amsterdam-2016
  Machine Learning with Scikit-Learn (material for pydata Amsterdam 2016)
  ☆30Updated 9 years ago
• zygmuntz / kaggle-happiness
  Predicting happiness from demographics and poll answers
  ☆45Updated 8 years ago
• ellisonbg / talk-2014-strata-sc
  My talk at Strata 2014 in Santa Clara, CA
  ☆73Updated 11 years ago
• dwhitena / dockerized-DS-python
  A simple example of containerized data science with python and Docker.
  ☆51Updated 7 years ago
• mdagost / pug_classifier
  Deep Learning for Pugs
  ☆74Updated 7 years ago
• syhw / DL4H
  Deep learning for hackers: a hands-on approach to machine learning and deep learning.
  ☆67Updated 10 years ago
• Prooffreader / intro_machine_learning
  Introduction to Machine Learning, a series of IPython Notebook and accompanying slideshow and video
  ☆102Updated 6 years ago
• T-002 / pycast
  Python forecasting and smoothing library
  ☆67Updated 6 years ago
• mortehu / text-classifier
  Creates models to classify documents into categories
  ☆66Updated 7 years ago
• tdhopper / pydata-nyc-2015
  Understanding Probabilistic Topic Models with Simulation in Python
  ☆64Updated 7 years ago
• ottogroup / kaggle
  Additional files for the Otto Group Challenge hosted by Kaggle
  ☆37Updated 10 years ago
• szilard / datascience-latency
  Latency numbers every data scientist should know (aka the pyramid of analytical tasks) - the order of magnitude of computational time for…
  ☆20Updated 8 years ago
• chdoig / dss-scaling-tutorial
  ☆28Updated 8 years ago
• gjreda / beer-snob-says
  A bot tweeting nonsensical craft beer reviews via Markov chains
  ☆49Updated 9 years ago
• krasch / presentations
  Material for some talks I have given
  ☆62Updated 9 months ago
• unnati-xyz / intro-to-deep-learning-for-nlp
  The repository contains code walkthroughs which introduces Deep Learning in the field of Natural Language Processing.
  ☆108Updated 9 years ago
• columbia-applied-data-science / rosetta
  Tools, wrappers, etc... for data science with a concentration on text processing
  ☆206Updated 2 years ago
• ogrisel / spylearn
  Repo for experiments on pyspark and sklearn
  ☆79Updated 11 years ago
• datamicroscopes / lda
  Latent dirichlet allocation (LDA) for datamicroscopes
  ☆41Updated 9 years ago
• chendaniely / scipy_2016_notes
  ☆52Updated 8 years ago