Alternatives and similar repositories for CleverAlgorithmsMachineLearning:

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

• craffel / theano-tutorial
  A collection of tutorials on neural networks, using Theano
  ☆222Updated 2 years ago
• jackgolding / FullStackDataAnalysis
  Presentation at Perth Data Science Meetup, February 2015
  ☆72Updated 10 years ago
• tfolkman / learningwithdata
  Code for Learning with Data Blog
  ☆64Updated 7 years ago
• ajschumacher / gadsdc
  materials for General Assembly Data Science DC course
  ☆81Updated 9 years ago
• johnmyleswhite / MLNotes
  Very concise notes on machine learning and statistics.
  ☆380Updated 12 years ago
• rouseguy / DeepLearning-Image
  Introduction to Deep Learning for Image Recognition
  ☆151Updated 8 years ago
• mdagost / pug_classifier
  Deep Learning for Pugs
  ☆74Updated 7 years ago
• mike-perdide / scikit-learn-tutorial
  Applied Machine Learning in Python with scikit-learn
  ☆47Updated 13 years ago
• apeeyush / machine-learning
  Demonstrates data munging, analysis and visualization techniques
  ☆121Updated 9 years ago
• ttvand / Facebook-V
  Cleaned code of the winning submission of the Kaggle Recruiting Competition
  ☆123Updated 5 years ago
• jaberg / IPythonTheanoTutorials
  ☆196Updated 12 years ago
• tdhopper / udacity-deep-learning
  Install directions and example notebooks for Udacity's Deep Learning classes
  ☆28Updated 9 years ago
• oxford-cs-ml-2015 / practical1
  Practical 1: Introduction to lua and torch
  ☆137Updated 8 years ago
• HIPS / Kayak
  Kayak is a library for automatic differentiation with applications to deep neural networks.
  ☆227Updated 7 years ago
• justmarkham / kaggle-pycon-2015
  Solution code from my winning submission to Kaggle's PyCon 2015 competition
  ☆55Updated 9 years ago
• wolffg / tf-tutorial
  Short tutorial for TensorFlow, designed to be presented in-person
  ☆133Updated 7 years ago
• zygmuntz / kaggle-blackbox
  Deep learning made easy
  ☆116Updated 10 years ago
• rouseguy / intro2deeplearning
  Introduction to Deep Learning
  ☆127Updated 9 years ago
• bugra / pydata-nyc-2014
  Pydata NYC 2014 Scikit Learn Tutorial
  ☆64Updated 10 years ago
• turi-code / how-to
  How-To code samples for working with GraphLab Create.
  ☆208Updated 8 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
• Prooffreader / intro_machine_learning
  Introduction to Machine Learning, a series of IPython Notebook and accompanying slideshow and video
  ☆102Updated 5 years ago
• vmirly / DataScience
  ☆66Updated last year
• rasbt / pydata-chicago2016-ml-tutorial
  Machine learning with scikit-learn tutorial at PyData Chicago 2016
  ☆127Updated 8 years ago
• maciejjaskowski / data-science-interview
  ☆24Updated 9 years ago
• mbeissinger / intro_deep
  Introduction tutorials to deep learning with Theano and OpenDeep
  ☆51Updated 9 years ago
• christopherjenness / ML-lib
  An extensive machine learning library, made from scratch (Python).
  ☆111Updated 6 years ago
• tdhopper / pydata-nyc-2015
  Understanding Probabilistic Topic Models with Simulation in Python
  ☆64Updated 7 years ago
• dennybritz / nn-theano
  Speed up your Neural Network with Theano and the GPU
  ☆62Updated 9 years ago
• gangeshwark / all-datasets-links
  Curated list of all dataset websites that I find
  ☆84Updated 6 years ago