Alternatives and similar repositories for deep-learning-crash-course-notebooks

Users that are interested in deep-learning-crash-course-notebooks are comparing it to the libraries listed below

• paiml / python_for_datascience
  [Video]Colab Notebooks for Python for Data Science by Pearson
  ☆43Updated last year
• lavanyashukla / neural_networks
  ☆50Updated 4 years ago
• AileenNielsen / OReillyHealthcareData
  ☆39Updated 8 years ago
• noahgift / managed_ml_systems_and_iot
  Managed Machine Learning Systems and Internet of Things Live Lesson
  ☆40Updated last year
• google-aai / sc17
  SuperComputing 2017 Deep Learning Tutorial
  ☆212Updated 7 years ago
• ageron / tensorflow-safari-course
  ⛔️ DEPRECATED — Exercises and solutions to accompany my Safari course introducing TensorFlow.
  ☆175Updated 2 years ago
• the-deep-learners / nyc-ds-academy
  In-class exercises for Deep Learning course at NYC Data Science Academy
  ☆32Updated 7 years ago
• iamtrask / DeepLearningTutorials
  Deep Learning Tutorial notes and code. See the wiki for more info.
  ☆25Updated 10 years ago
• noahgift / pragmaticai
  [Book-2019] Pragmatic AI: An Introduction to Cloud-based Machine Learning
  ☆139Updated last year
• GeorgeMcIntire / collection_free_DL_resources
  My exhaustive repo of free deep learning resources
  ☆50Updated 8 years ago
• PacktPublishing / Hands-on-Unsupervised-Learning-with-Python
  Hands on Unsupervised Learning with Python [Video], Published by Packt
  ☆29Updated 2 years ago
• PacktPublishing / Mastering-Python-Data-Analysis
  Mastering-Python-Data-Analysis
  ☆84Updated 2 years ago
• llSourcell / Best-Programming-Languages-for-Machine-Learning
  This is the code for "Best Programming Languages for Machine Learning" By Siraj Raval on Youtube
  ☆61Updated 7 years ago
• kozyrkov / deep-learning-walkthrough
  Slides showing a walkthrough of the tutorial by kozyrkov and bkungfoo available at github.com/google-aai/sc17.
  ☆98Updated 5 years ago
• khanhnamle1994 / machine-learning
  Programming Assignments and Lectures for Andrew Ng's "Machine Learning" Coursera course
  ☆86Updated 7 years ago
• asifahmed90 / pyspark-ML-in-Colab
  Pyspark in Google Colab: A simple machine learning (Linear Regression) model
  ☆38Updated 6 years ago
• EthicalML / state-of-mlops-2020
  ☆59Updated 4 years ago
• amitkaps / art-data-science
  The Art of Data Science
  ☆36Updated 6 years ago
• llSourcell / lime
  Lime: Explaining the predictions of any machine learning classifier
  ☆16Updated 6 years ago
• dipanjanS / feature_engineering_session_dhs18
  Contains code and presentation for my interactive hack session, 'Effective Feature Engineering: A Structured Approach to Building Better …
  ☆30Updated 5 years ago
• Startupsci / data-science-notebooks
  Jupyter notebooks for learning Python and Data Science, companion to Data Science Solutions book.
  ☆37Updated 5 years ago
• PacktPublishing / Mastering-Machine-Learning-Algorithms
  Mastering Machine Learning Algorithms, published by Packt
  ☆71Updated 3 weeks ago
• NMZivkovic / ultimate-tensorflow2.0
  Contains code that accompanies article - https://rubikscode.net/2019/04/22/ultimate-guide-to-tensorflow-2-0-in-python/
  ☆53Updated 6 years ago
• PacktPublishing / Artificial-Intelligence-with-Python-Cookbook
  Artificial Intelligence with Python Cookbook, published by Packt
  ☆77Updated 3 weeks ago
• WillKoehrsen / classic_computer_science
  Classic Computer Science Problems with Python
  ☆29Updated 6 years ago
• PacktPublishing / Python-Machine-Learning-Third-Edition
  ☆33Updated 3 years ago
• Denis2054 / Hands-on-Chatbots
  Learn how to build NPL Cognitive Chatbots
  ☆24Updated 5 years ago
• brohrer / cottonwood
  A flexible neural network framework for running experiments and trying ideas.
  ☆82Updated 5 years ago
• llSourcell / LoanDefault-Prediction
  Lending Club Loan data analysis
  ☆45Updated 6 years ago
• zotroneneis / tensorflow_deep_learning_models
  TensorFlow implementations of several deep learning models (e.g. variational autoencoder, RNN, ...)
  ☆37Updated 7 years ago