Alternatives and similar repositories for Keras-Tutorials

Users that are interested in Keras-Tutorials are comparing it to the libraries listed below

• Britefury / deep-learning-tutorial-pydata
  Deep learning tutorial for PyData
  ☆85Updated 6 years ago
• vmirly / DataScience
  ☆66Updated 2 years ago
• mpearmain / homesite
  Homesite Kaggle
  ☆30Updated 9 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
• paulperry / kaggle
  Kaggle competition results
  ☆20Updated 6 years ago
• beamandrew / deep_learning_works
  Code to accompany "You can probably use deep learning even if your data isn't that big" blog post
  ☆74Updated 8 years ago
• alexandraj777 / machine-learning-samples
  Sample applications built using AWS' Amazon Machine Learning.
  ☆51Updated 8 years ago
• braz / pycon2016_talk
  The notes and slides from my PyCon Ireland 2016 PyData talk an introduction to gradient boosting
  ☆18Updated 9 years ago
• christopherjenness / ML-lib
  An extensive machine learning library, made from scratch (Python).
  ☆111Updated 7 years ago
• jfsantos / keras-tutorial
  Tutorial teaching the basics of Keras and some deep learning concepts
  ☆104Updated 9 years ago
• chdoig / dss-scaling-tutorial
  ☆28Updated 9 years ago
• aysent / random-forest-leaf-visualization
  Visualization of leaf nodes in Random Forests
  ☆19Updated 10 years ago
• dolaameng / deeplearning-exploration
  Explore different deep-learning frameworks
  ☆18Updated 7 years ago
• napsternxg / ipython-notebooks
  Some iPython Notebooks I have created for personal learning
  ☆65Updated last year
• rouseguy / DeepLearning-Image
  Introduction to Deep Learning for Image Recognition
  ☆152Updated 9 years ago
• vene / pyowl
  Ordered Weighted L1 regularization for classification and regression in Python
  ☆52Updated 7 years ago
• joshloyal / pydata-amazon-products
  Code for PyData Talk on "Classifying Products Based on Images and Text using Keras"
  ☆30Updated 8 years ago
• dolaameng / tutorials
  different types of tutorials, such as machine learning, image processing and etc.
  ☆102Updated 9 years ago
• zlosa / TPOT_Kaggle
  Datasets and notebooks
  ☆13Updated 9 years ago
• szilard / benchm-dl
  Playing with various deep learning tools and network architectures
  ☆70Updated 8 years ago
• GaelVaroquaux / sklearn_europython_2014
  Scikit-learn Tutorial at EuroPython 2014
  ☆43Updated 7 years ago
• tdhopper / pydata-nyc-2015
  Understanding Probabilistic Topic Models with Simulation in Python
  ☆64Updated 8 years ago
• amueller / quick-ml-intro
  One hour interactive training for ML with scikit-learn
  ☆73Updated 8 years ago
• dhrushilbadani / deeplearning-timeseries
  Timeseries Forecasting via Recurrent Neural Nets [Keras + Theano]
  ☆34Updated 9 years ago
• jonathanstrong / tmetrics
  A collections of metrics and loss functions written in Theano.
  ☆14Updated 9 years ago
• amueller / advanced-sklearn-boston-nlp-2016
  Material and slides for Boston NLP meetup May 23rd 2016
  ☆17Updated 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
• abhishekmalali / TimeFlow
  Tensorflow for Time Series Applications
  ☆68Updated 7 years ago
• threecourse / kaggle-walmart-recruiting-sales-in-stormy-weather
  kaggle walmart-recruiting-sales-in-stormy-weather
  ☆48Updated 10 years ago
• borjaayerdi / AdaHERF
  Adaptative Hybrid Extreme Rotation Forest (AdaHERF)
  ☆33Updated 9 years ago