Alternatives and similar repositories for notes-on-neural-networks

Users that are interested in notes-on-neural-networks are comparing it to the libraries listed below

• yandexdataschool / MLatGradDays
  Course of Machine Learning in Science and Industry at Heidelberg university
  ☆47Updated 8 years ago
• scikit-learn / ml-benchmarks
  Benchmarks for various machine learning packages
  ☆92Updated 11 years ago
• crowd-course / datascience
  Crowd Course Data Science course project
  ☆27Updated 9 years ago
• rohan-varma / paper-analysis
  Analysis & Implementation of deep learning papers
  ☆12Updated 7 years ago
• krishnakalyan3 / awesome-kaggle
  Kaggle competition : Code and Solutions
  ☆19Updated 8 years ago
• Jason2Brownlee / CleverAlgorithmsMachineLearning
  Defunct
  ☆241Updated 8 years ago
• christopher-beckham / cs109-dl-videos
  Shell script to scrape Harvard CS109 (Intro to Data Science) lecture videos
  ☆79Updated 9 years ago
• leriomaggio / numpy-euroscipy
  Introduction to NumPy - Tutorial @ EuroSciPy
  ☆30Updated 2 years ago
• rasbt / pydata-annarbor2017-dl-tutorial
  Code snippets for "Introduction to Deep Learning with TensorFlow" at PyData Ann Arbor Aug 2017
  ☆80Updated 8 years ago
• ujjwalkarn / deeplearning-papernotes
  Summaries and notes on Deep Learning research papers
  ☆32Updated 9 years ago
• oxford-cs-deepnlp-2017 / practical-open
  Oxford Deep NLP 2017 course - Open practical
  ☆98Updated 8 years ago
• ajschumacher / gadsdc
  materials for General Assembly Data Science DC course
  ☆81Updated 10 years ago
• aqibsaeed / Research-Paper-Categorization
  Research paper classification using machine learning and NLP
  ☆27Updated 7 years ago
• AccelAI / DemystifyingDeepLearning-AI
  Collection of Presentation materials from workshop on Nov 19pth-20th, 2016
  ☆64Updated 7 years ago
• mmmayo13 / scikit-learn-beginners-tutorials
  Abridged implementation of the official scikit-learn beginner tutorials
  ☆51Updated 9 years ago
• amitkaps / art-data-science
  The Art of Data Science
  ☆36Updated 6 years ago
• UCIDataScienceInitiative / PredictiveModeling_withPython
  Notebooks for the Course
  ☆37Updated 7 years ago
• rlabbe / statistical-rethinking
  Notebooks containing R code from Richard McElreath's Statistical Rethinking
  ☆71Updated 9 years ago
• adeshpande3 / NLP-Stuff
  Programs with word vectors, RNN, NLP stuff, etc
  ☆18Updated 8 years ago
• christopherjenness / ML-lib
  An extensive machine learning library, made from scratch (Python).
  ☆111Updated 7 years ago
• amueller / talks_odt
  Slides and materials for most of my talks by year
  ☆92Updated 2 years ago
• GaelVaroquaux / interpreting_ml_tuto
  Tutorial on interpreting and understanding machine learning models
  ☆69Updated 6 years ago
• llSourcell / genetic_algorithm_challenge
  Genetic Algorithm Challenge by @Sirajology on Youtube
  ☆30Updated 6 years ago
• daviddiazvico / scikit-datasets
  Scikit-learn-compatible datasets
  ☆16Updated 3 weeks ago
• amueller / advanced_git_nyu_2016
  Advanced git and github course material
  ☆39Updated 7 years ago
• omarsar / deep_learning_notations
  Contains useful deep learning notations for writing blogs, presentations, and papers.
  ☆47Updated 5 years ago
• vinayprabhu / Network_Science_Meets_Deep_Learning
  Designing Deep neural network architectures using topologies from the world of Complex Networks/network Science
  ☆91Updated 6 years ago
• masinoa / probability
  Notes, problems, simulations developed while following the MIT Open Courseware class "Probability Systems Analysis
  ☆26Updated 2 years ago
• adeshpande3 / Music-Analysis
  Trying to apply deep learning to music analysis
  ☆12Updated 8 years ago
• harshnisar / ml-india
  Website for Machine Learning India (ml-india). Fostering machine learning and data science ecosystem in India.
  ☆76Updated 3 years ago