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
• adeshpande3 / Music-Analysis
  Trying to apply deep learning to music analysis
  ☆12Updated 8 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
• amueller / talks_odt
  Slides and materials for most of my talks by year
  ☆92Updated 2 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
• 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
• crowd-course / datascience
  Crowd Course Data Science course project
  ☆27Updated 9 years ago
• GaelVaroquaux / interpreting_ml_tuto
  Tutorial on interpreting and understanding machine learning models
  ☆69Updated 6 years ago
• Jason2Brownlee / CleverAlgorithmsMachineLearning
  Defunct
  ☆241Updated 8 years ago
• the-deep-learners / nyc-ds-academy
  In-class exercises for Deep Learning course at NYC Data Science Academy
  ☆32Updated 7 years ago
• aqibsaeed / Research-Paper-Categorization
  Research paper classification using machine learning and NLP
  ☆27Updated 6 years ago
• amitkaps / art-data-science
  The Art of Data Science
  ☆36Updated 6 years ago
• uclaacmai / beginner-track-spring18
  Repo for the code used during our Beginner Track: Intro to ML workshop series
  ☆13Updated 6 years ago
• nfmcclure / DataScience350
  Notes for Data Science 350 Class
  ☆24Updated 8 years ago
• llSourcell / How_to_Simplify_Your_Data-LIVE-
  How_to_Simplify_Your_Data(LIVE)
  ☆13Updated 8 years ago
• agramfort / sklearn_pandas_intro
  Introduction to Scikit-Learn and Pandas
  ☆16Updated 9 years ago
• rlabbe / statistical-rethinking
  Notebooks containing R code from Richard McElreath's Statistical Rethinking
  ☆72Updated 9 years ago
• christopher-beckham / cs109-dl-videos
  Shell script to scrape Harvard CS109 (Intro to Data Science) lecture videos
  ☆79Updated 9 years ago
• datalad-datasets / machinelearning-books
  Collection of great (and free) machine learning books
  ☆118Updated 3 years ago
• ujjwalkarn / deeplearning-papernotes
  Summaries and notes on Deep Learning research papers
  ☆32Updated 9 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
• hugobowne / machine_learning_techniques
  In which I implement some applications of machine learning techniques.
  ☆31Updated 9 years ago
• agconti / KaggleAux
  A collection of statistical tools to aid Data Science competitors in Kaggle Competitions.
  ☆63Updated 7 years ago
• llSourcell / Dimensionality_Reduction
  This is the Code for "Dimensionality Reduction - The Math of Intelligence #5" By Siraj Raval on Youtube
  ☆50Updated 8 years ago
• Quantia-Analytics / DyDataSF2016Visualization
  Materials for the PyData San Francisco 2016 visualization tutorial
  ☆14Updated 8 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
• scikit-learn / scikit-learn-benchmarks
  Results of scikit-learn asv benchmarks
  ☆36Updated last year