Alternatives and similar repositories for open-source-machine-learning-degree:

Users that are interested in open-source-machine-learning-degree are comparing it to the libraries listed below

• craffel / theano-tutorial
  A collection of tutorials on neural networks, using Theano
  ☆222Updated 2 years ago
• justmarkham / DAT7
  General Assembly's Data Science course in Washington, DC
  ☆232Updated 7 months ago
• rouseguy / intro2deeplearning
  Introduction to Deep Learning
  ☆127Updated 9 years ago
• jaberg / IPythonTheanoTutorials
  ☆196Updated 12 years ago
• rcompton / ml_cheat_sheet
  My notes and superstitions about common machine learning algorithms
  ☆365Updated 7 years ago
• mila-iqia / summerschool2015
  Slides and exercises for the Deep Learning Summer School 2015 programming tutorials
  ☆389Updated 9 years ago
• lamblin / bayareadlschool
  Slides and exercises for the Theano tutorial at the Deep Learning School in Stanford, September 24-25, 2016
  ☆114Updated 8 years ago
• ChristosChristofidis / awesome-public-datasets
  A awesome list of (large-scale) public datasets on the Internet. (On-going collection)
  ☆84Updated 10 years ago
• wolffg / tf-tutorial
  Short tutorial for TensorFlow, designed to be presented in-person
  ☆133Updated 7 years ago
• jfsantos / keras-tutorial
  Tutorial teaching the basics of Keras and some deep learning concepts
  ☆104Updated 8 years ago
• hindupuravinash / nips2016
  A list of resources for all invited talks, tutorials, workshops and presentations at NIPS 2016
  ☆223Updated 8 years ago
• YerevaNN / Deep-Learning-Papers-Reading-Roadmap
  Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
  ☆34Updated 8 years ago
• christopher-beckham / cs109-dl-videos
  Shell script to scrape Harvard CS109 (Intro to Data Science) lecture videos
  ☆78Updated 8 years ago
• amueller / advanced_training
  Advanced Scikit-learn training session
  ☆118Updated 8 years ago
• jaberg / skdata
  Data sets for machine learning in Python
  ☆474Updated 7 years ago
• alexbw / bayarea-dl-summerschool
  Torch notebooks and slides for the Bay Area Deep Learning Summer School
  ☆97Updated 8 years ago
• kuleshov / cs228-notes
  Lecture notes on probabilistic graphical modeling, based on Stanford CS228 (work in progress!)
  ☆31Updated 7 years ago
• chasingbob / deep-learning-resources
  A Collection of resources I have found useful on my journey finding my way through the world of Deep Learning.
  ☆143Updated 5 years ago
• rasbt / pydata-annarbor2017-dl-tutorial
  Code snippets for "Introduction to Deep Learning with TensorFlow" at PyData Ann Arbor Aug 2017
  ☆79Updated 7 years ago
• mleue / oxford-deep-nlp-2017-solutions
  my solutions for oxford's "deep nlp 2017" practical assignments
  ☆65Updated 7 years ago
• EderSantana / awesomeMLmath
  Curated list to learn the math basics for machine learning
  ☆246Updated 6 years ago
• oxford-cs-deepnlp-2017 / practical-1
  Oxford Deep NLP 2017 course - Practical 1: word2vec
  ☆253Updated 3 years ago
• 317070 / kaggle-heart
  ☆157Updated 8 years ago
• noammor / coursera-machinelearning-python
  Skeleton code for doing the coursera machine learning course in the form of an ipython notebook.
  ☆68Updated 9 years ago
• DataTau / datascience-anthology-pydata
  PyData, The Complete Works of
  ☆299Updated 8 years ago
• 0bserver07 / Study-Reinforcement-Learning
  Studying Reinforcement Learning Guide
  ☆151Updated 6 years ago
• uvadlc / uvadlc_practicals_2016
  Repository for practical assignments for UvA Deep Learning Course 2016
  ☆51Updated 7 years ago
• fcrimins / fcrimins.github.io
  ☆93Updated 9 years ago
• rasbt / pydata-chicago2016-ml-tutorial
  Machine learning with scikit-learn tutorial at PyData Chicago 2016
  ☆127Updated 8 years ago
• oxford-cs-deepnlp-2017 / practical-open
  Oxford Deep NLP 2017 course - Open practical
  ☆97Updated 7 years ago