Alternatives and similar repositories for notebooks

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

• jamesdellinger / fastai_deep_learning_course_part2_v3
  My projects for fast.ai's Deep Learning from the Foundations course (fast.ai part2v3)
  ☆39Updated 5 years ago
• llSourcell / Kaggle_Challenge_LIVE-Two-Sigma
  This is the code for "Kaggle Challenge (LIVE)" by Siraj Raval on Youtube
  ☆65Updated 7 years ago
• dragen1860 / awesome-AutoML
  A curated list of AutoML papers/tutorials/slides etc.
  ☆91Updated 6 years ago
• zackchase / python-wow
  Python, so easy, wow!
  ☆139Updated 4 years ago
• d2l-ai / 1day-notebooks
  ☆75Updated 6 years ago
• EkramulHoque / docker-jenkins-flask-tutorial
  ☆31Updated 6 years ago
• mxbi / kaggledays-paris
  Winning Solution to the Kaggle Days Paris offline competition
  ☆63Updated 6 years ago
• sethjuarez / DeepLearningWithPyTorch
  ☆83Updated 4 years ago
• hengluchang / visualizing_momentum
  Visualizing Gradient Descent with Momentum in Python
  ☆25Updated 7 years ago
• llSourcell / kaggle_challenge
  This is the code for "Kaggle Challenge LIVE" By Siraj Raval on Youtube
  ☆121Updated 7 years ago
• shik3519 / machine-learning
  Implementation of different machine learning techniques
  ☆94Updated 7 years ago
• aerdem4 / kaggle-plasticc
  Solution to Kaggle's PLAsTiCC Astronomical Classification Competition
  ☆50Updated 6 years ago
• dattarajrao / keras2kubernetes
  Open source project to deploy Keras Deep Learning models packaged as Docker containers on Kubernetes.
  ☆65Updated last year
• ppham27 / MLaPP-solutions
  Solutions in Python for Kevin Murphy's Machine Learning: a Probabilistic Perspective
  ☆53Updated 8 years ago
• nw2190 / TensorFlow_Examples
  Collection of TensorFlow Examples
  ☆37Updated 7 years ago
• glemaitre / pyparis-2018-sklearn
  PyParis tutorial on machine learning using scikit-learn
  ☆74Updated last year
• huanzhang12 / lightgbm-gpu
  Development Repository for GPU-accelerated GBDT training
  ☆60Updated 8 years ago
• astonzhang / KDD19-tutorial
  KDD19 Tutorial: From Shallow to Deep Language Representations: Pre-training, Fine-tuning, and Beyond
  ☆64Updated 2 years ago
• rajivgrover009 / Deep-Learning
  ☆13Updated 8 years ago
• ishank26 / nn_from_scratch
  Multilayer Neural Network using numpy.
  ☆55Updated 8 years ago
• AlphaOneSrc / SuperMachineLearningNotes
  Super-Machine-Learning-Revision-Notes
  ☆75Updated 6 years ago
• manujeevanprakash / mxnet-ccn-samples
  Mxnet-cnn-samples
  ☆30Updated 8 years ago
• neerjad / MachineLearning
  A repo with tutorials for algorithms from scratch
  ☆100Updated 7 years ago
• learning-luke / pytorch-experiments-template
  A pytorch based classification experiments template
  ☆46Updated 4 years ago
• Shujian2015 / Kaggle-Mercari
  32/2384 Solution to Kaggle Mercari Competition (solo silver medal winner)
  ☆21Updated 7 years ago
• mrahtz / distributed_tensorflow_gentle_introduction
  Jupyter notebook running through basic examples of Distributed TensorFlow
  ☆70Updated 4 years ago
• PacktPublishing / TensorFlow-1x-Deep-Learning-Cookbook
  TensorFlow 1.x Deep Learning Cookbook, published by Packt
  ☆86Updated 2 years ago
• Apress / practical-ml-w-python
  Source code for 'Practical Machine Learning with Python' by Dipanjan Sarkar, Raghav Bali, and Tushar Sharma
  ☆123Updated 7 years ago
• GokuMohandas / the-neural-perspective
  📓 Notes from The Neural Perspective (discontinued) blog.
  ☆83Updated 7 years ago
• wagonhelm / Visualizing-Convnets
  How to build convolutional neural networks from scratch w/ Tensorflow
  ☆86Updated 7 years ago