Alternatives and similar repositories for jupyter-notebooks

Users that are interested in jupyter-notebooks are comparing it to the libraries listed below

• jfsantos / keras-tutorial
  Tutorial teaching the basics of Keras and some deep learning concepts
  ☆104Updated 9 years ago
• llSourcell / How-to-Learn-from-Little-Data
  This is the code for "How to Learn from Little Data - Intro to Deep Learning #17' by Siraj Raval on YouTube
  ☆140Updated 8 years ago
• brannondorsey / keras_weight_animator
  Save keras weight matrices as short animated videos during training
  ☆105Updated 8 years ago
• alexandraj777 / machine-learning-samples
  Sample applications built using AWS' Amazon Machine Learning.
  ☆51Updated 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
• Britefury / deep-learning-tutorial-pydata
  Deep learning tutorial for PyData
  ☆85Updated 6 years ago
• amueller / advanced_training
  Advanced Scikit-learn training session
  ☆118Updated 9 years ago
• dennybritz / nn-theano
  Speed up your Neural Network with Theano and the GPU
  ☆62Updated 10 years ago
• szilard / benchm-dl
  Playing with various deep learning tools and network architectures
  ☆70Updated 8 years ago
• ContextLab / hypertools-paper-notebooks
  Supporting notebooks and data from hypertools paper
  ☆147Updated 7 years ago
• ramon-oliveira / aorun
  Deep Learning over PyTorch
  ☆62Updated 8 years ago
• TimSalimans / HiggsML
  My second place solution to the Higgs Boson Machine Learning Challenge
  ☆86Updated 11 years ago
• MLWave / Black-Boxxy
  Some experiments into explaining complex black box ensemble predictions.
  ☆74Updated 5 years ago
• tesserai / tfi
  Use any TensorFlow model in a single line of code
  ☆151Updated 6 years ago
• felixlaumon / kaggle-right-whale
  2nd place solution to the Kaggle Right Whale challenge
  ☆174Updated 9 years ago
• sigopt / sigopt-sklearn
  SigOpt wrappers for scikit-learn methods
  ☆75Updated 2 years ago
• yell / mnist-challenge
  My solution to TUM's Machine Learning MNIST challenge 2016-2017 [winner]
  ☆70Updated 6 years ago
• llSourcell / synthetic_gradients_explained
  This is the code for "Synthetic Gradients Explained" by Siraj Raval on Youtube
  ☆61Updated 7 years ago
• 0011001011 / vizuka
  Explore high-dimensional datasets and how your algo handles specific regions.
  ☆107Updated 7 years ago
• sravya8 / ML
  ☆35Updated 6 years ago
• llSourcell / an_intro_to_probabilistic_programming
  This is the code for the "An intro to probabilistic programming with Uber's Pyro" by Siraj Raval on Youtube
  ☆44Updated 8 years ago
• llSourcell / The_evolution_of_gradient_descent
  This is the code for "The Evolution of Gradient Descent" by Siraj Raval on Youtube
  ☆62Updated 6 years ago
• craffel / theano-tutorial
  A collection of tutorials on neural networks, using Theano
  ☆220Updated 2 years ago
• mleue / oxford-deep-nlp-2017-solutions
  my solutions for oxford's "deep nlp 2017" practical assignments
  ☆65Updated 8 years ago
• bckenstler / dsb17-walkthrough
  An end-to-end walkthrough of the winning submission by grt123 for the Kaggle Data Science Bowl 2017
  ☆69Updated 8 years ago
• uclaacmai / tf-workshop-series
  Code, Slides, & Materials for our Tensorflow Workshop Series for Spring Quarter 2017
  ☆64Updated 8 years ago
• Atcold / pytorch-Video-Tutorials
  The versatility of Python enlightened by Torch to seize Deep Learning
  ☆129Updated 8 years ago
• jaberg / IPythonTheanoTutorials
  ☆196Updated 12 years ago
• uvadlc / uvadlc_practicals_2016
  Repository for practical assignments for UvA Deep Learning Course 2016
  ☆51Updated 8 years ago
• mineshmathew / char_rnn_karpathy_keras
  Language modellling using RNNs
  ☆55Updated 8 years ago