Alternatives and similar repositories for ai-notebooks

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

• samwit / TensorFlowTalks
  TensorFlow Meetup Talks
  ☆57Updated 7 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
• NawfalTachfine / PredictionAPI
  Tutorial on deploying machine learning models to production
  ☆59Updated 6 years ago
• cstorm125 / sophia
  Neural networks from scratch
  ☆108Updated 5 years ago
• wagonhelm / Visualizing-Convnets
  How to build convolutional neural networks from scratch w/ Tensorflow
  ☆86Updated 7 years ago
• MLWave / kaggle_acquire-valued-shoppers-challenge
  Code for the Kaggle acquire valued shoppers challenge
  ☆66Updated 11 years ago
• shik3519 / machine-learning
  Implementation of different machine learning techniques
  ☆94Updated 7 years ago
• bigsnarfdude / SELU_Keras_Tutorial
  Keras based Tutorials and implementations for "Self-normalizing networks" - new activation function SELU
  ☆48Updated 4 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
• jmschrei / notebooks
  Various notebooks and tutorials on subjects of interest.
  ☆36Updated 5 years ago
• ZFTurbo / KAGGLE_DISTRACTED_DRIVER
  Solutions
  ☆91Updated 6 years ago
• llSourcell / wiki_generator_live
  live code
  ☆48Updated 7 years ago
• mpearmain / gestalt
  A helper library for data science pipeline
  ☆36Updated 6 years ago
• llSourcell / Which-Activation-Function-Should-I-Use
  This is the code for the "Which Activation Function Should I Use?" video By Siraj Raval on Youtube
  ☆27Updated 8 years ago
• llSourcell / How_to_use_Tensorflow_for_classification-LIVE
  This is the code for the "How to Use Tensorflow for Classification" live session by Siraj Raval on Youtube
  ☆75Updated 7 years ago
• jfsantos / keras-tutorial
  Tutorial teaching the basics of Keras and some deep learning concepts
  ☆104Updated 9 years ago
• amiyapatanaik / tensorflow-serving-docker-image
  Production Ready Docker Container for TensorFlow Serving
  ☆17Updated 8 years ago
• mila-iqia / summerschool2017
  Material for the Montréal Deep Learning Summer School 2017
  ☆77Updated 8 years ago
• radekosmulski / cifar10_docker
  ☆52Updated 7 years ago
• malaikannan / Talks
  ☆36Updated 9 years ago
• dolaameng / deeplearning-exploration
  Explore different deep-learning frameworks
  ☆18Updated 7 years ago
• siddharth-agrawal / Convolutional-Neural-Network
  ☆107Updated 7 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
• GokuMohandas / attentional-interfaces
  🔍 Attentional interfaces in TensorFlow.
  ☆61Updated 6 years ago
• gereleth / kaggle-telstra
  My code for Telstra Network Disruptions Kaggle competition
  ☆74Updated 9 years ago
• GokuMohandas / the-neural-perspective
  📓 Notes from The Neural Perspective (discontinued) blog.
  ☆83Updated 7 years ago
• u1234x1234 / kaggle-yelp-restaurant-photo-classification
  Winning solution scripts
  ☆53Updated 8 years ago
• teezeit / tuning_xgboost
  Using consecutive (greedy) gridsearch with cross validation to tune xgboost hyperparameters in python.
  ☆92Updated 8 years ago
• babaktr / ml-in-tf
  Get started with Machine Learning in TensorFlow with a selection of good reads and implemented examples!
  ☆45Updated 8 years ago
• llSourcell / synthetic_gradients_explained
  This is the code for "Synthetic Gradients Explained" by Siraj Raval on Youtube
  ☆61Updated 7 years ago