Alternatives and similar repositories for Artificial-Neural-Networks-with-Jupyter

Users that are interested in Artificial-Neural-Networks-with-Jupyter are comparing it to the libraries listed below

• thinknewtech / Data-Science
  R , Python, Machine Learning, Data Analysis, Data Visualization,Data Manipulation,Data Cleaning
  ☆45Updated 7 years ago
• aymericdamien / tflearn
  Deep learning library featuring a higher-level API for TensorFlow.
  ☆14Updated 8 years ago
• llSourcell / Machine-Learning-API-Tutorial
  This is the code for "Machine Learning API tutorial" By Siraj Raval on Youtube
  ☆128Updated 6 years ago
• llSourcell / Dimensionality_Reduction
  This is the Code for "Dimensionality Reduction - The Math of Intelligence #5" By Siraj Raval on Youtube
  ☆50Updated 7 years ago
• SkalskiP / ILearnMachineLearning.py
  This repository contains all my small projects related with Data Science and Machine Learning.
  ☆45Updated 2 years ago
• liufuyang / course-Neural-Networks-for-Machine-Learning
  Neural Networks for Machine Learning (University of Toronto)
  ☆43Updated 8 years ago
• CristiVlad25 / ml-sklearn
  Tutorials on Machine Learning with Scikit-Learn
  ☆82Updated 4 years ago
• innat / Py4-DS
  Data Science Boot-Camp : UC San DiegoX
  ☆17Updated last year
• prakashjayy / medium_blogs
  medium blog supplementaries | Backprop | Resnet & ResNext | RNN |
  ☆73Updated 3 years ago
• llSourcell / quantum_machine_learning_LIVE
  This is the code for "Quantum Machine Learning LIVE" By Siraj Raval on Youtube
  ☆81Updated 6 years ago
• ritchieng / ritchieng.github.io
  My personal repository of notes served through Github pages at www.ritchieng.com
  ☆69Updated this week
• priya-dwivedi / Udacity-ML-Nano-Degree
  ☆25Updated 8 years ago
• rragundez / coursera-machine-learning-AndrewNg-Python
  This contains notes and exercises made in Python I made a long time ago from the Andrew Ng course in Coursera.
  ☆47Updated 9 years ago
• tgjeon / Keras-Tutorials
  Simple tutorials using Keras Framework
  ☆268Updated 8 years ago
• romeokienzler / ibm-developer
  ☆113Updated 3 years ago
• PacktPublishing / TensorFlow-Machine-Learning-Projects
  ☆113Updated 2 years ago
• adeshpande3 / Machine-Learning-Notes
  Notes for several Machine Learning and Deep Learning courses, textbooks, and talks
  ☆58Updated 6 years ago
• nehal96 / Deep-Learning-ND-Exercises
  Notes and coding exercises from the various lessons in Udacity's Deep Learning Nanodegree Foundation
  ☆72Updated 8 years ago
• marcotav / deep-learning
  Projects include the application of transfer learning to build a convolutional neural network (CNN) that identifies the artist of a paint…
  ☆51Updated 6 years ago
• rupskygill / ML-mastery
  Code from Jason Brownlee's course on mastering machine learning
  ☆124Updated 8 years ago
• wxs / keras-mnist-tutorial
  For a mini tutorial at U of T, a tutorial on MNIST classification in Keras.
  ☆150Updated 6 years ago
• ageron / awesome-tensorflow
  TensorFlow - A curated list of dedicated resources http://tensorflow.org
  ☆87Updated 7 years ago
• llSourcell / recommender_system_challenge
  Recommender System Challenge by @Sirajology on Youtube
  ☆79Updated 7 years ago
• dorajam / Convolutional-Network
  A convolutional neural network from scratch
  ☆102Updated 8 years ago
• jlricon / advanced-deep-learning
  Files for the Advanced Machine Learning Coursera course
  ☆19Updated 7 years ago
• SkalskiP / Machine_Learning_A-Z
  Repository contains tasks and exercises made during Udemy course Machine Learning A-Z that I completed in 2017.
  ☆64Updated 7 years ago
• PacktPublishing / Python-Real-World-Machine-Learning
  Code files added
  ☆99Updated 2 years ago
• PacktPublishing / Hands-On-Automated-Machine-Learning
  Hands-On Automated Machine Learning, published by Packt
  ☆70Updated 2 years ago
• prashant0598 / Keras-Machine-Learning-Deep-Learning-Tutorial
  ☆33Updated 7 years ago
• llSourcell / k_means_clustering
  This is the code for "K-Means Clustering - The Math of Intelligence (Week 3)" By SIraj Raval on Youtube
  ☆126Updated 5 years ago