Alternatives and similar repositories for mitchell-machine-learning

Users that are interested in mitchell-machine-learning are comparing it to the libraries listed below

• DanielTakeshi / Interview_Practice
  Practice for coding interviews.
  ☆36Updated 5 years ago
• DanielTakeshi / Self_Study_Courses
  These will be public notes for courses that I'm self-studying.
  ☆26Updated 5 years ago
• pmlg / deep-rl-bootcamp
  Deep RL Bootcamp solutions
  ☆35Updated 7 years ago
• dennybritz / booknotes
  Notes I'm taking when reading books
  ☆138Updated 8 years ago
• mathias-madsen / reinforce_tutorial
  A small collection of code snippets and notes explaining the foundations of the REINFORCE algorithm.
  ☆36Updated 6 years ago
• GokuMohandas / the-neural-perspective
  📓 Notes from The Neural Perspective (discontinued) blog.
  ☆83Updated 7 years ago
• zackchase / machine-learning-resources
  A (possibly/eventually annotated?) collection of resources (books, demos, lectures, etc) that I personally like for various topics in mac…
  ☆32Updated 6 years ago
• dennybritz / representation-learning
  Unsupervised Deep Learning and Representation Learning Tutorial
  ☆13Updated 9 years ago
• llSourcell / Neural_Arithmetic_Logic_Units
  This is the code for "Neural Arithmetic Logic Units" By Siraj Raval on Youtube
  ☆91Updated 7 years ago
• adeshpande3 / NLP-Stuff
  Programs with word vectors, RNN, NLP stuff, etc
  ☆18Updated 8 years ago
• ageron / tiny-dqn
  A tiny implementation of Deep Q Learning, using TensorFlow and OpenAI gym
  ☆94Updated 3 years ago
• colah / Conv-Nets-Series
  A series of blog posts on convolutional neural networks and their generalizations.
  ☆208Updated 7 years ago
• adeshpande3 / Machine-Learning-Notes
  Notes for several Machine Learning and Deep Learning courses, textbooks, and talks
  ☆58Updated 6 years ago
• cbsudux / SOP-Generator
  A simple LSTM based Statement of Purpose Generator for grad school.
  ☆23Updated 6 years ago
• williamFalcon / keras-deep-learning-paper-implementations
  Keras implementation of Deep Learning papers
  ☆94Updated 7 years ago
• davidflanagan / notMNIST-to-MNIST
  A sample of the notMNIST dataset in MNIST format so you can drop new data into your existing MNIST neural nets
  ☆76Updated 7 years ago
• Newmu / gan_tutorial
  Tensorflow example of a conv GAN on MNIST.
  ☆98Updated 7 years ago
• Nurture-AI / Worth-More-Attention
  Other than papers from big-name labs and universities, most AI research papers get less than 10 readers, even though there might be gems …
  ☆15Updated 7 years ago
• mila-iqia / summerschool2017
  Material for the Montréal Deep Learning Summer School 2017
  ☆77Updated 8 years ago
• mlberkeley / Deep-Learning-Decal-Fall-2017
  ☆26Updated 7 years ago
• sebastianruder / sebastianruder
  Repository for my personal website
  ☆37Updated 2 years ago
• kushagra06 / CS230_DL
  ♊ Stanford CS230 : Deep Learning
  ☆16Updated 6 years ago
• shagunsodhani / talks
  ☆14Updated 10 months ago
• GokuMohandas / casual-digressions
  💤 Old repository of notes on machine learning papers.
  ☆79Updated 8 years ago
• hardikbansal / Qlearning
  ☆39Updated 7 years ago
• chiphuyen / tf-oreilly
  Code for O'Reilly's "A Short Course on TensorFlow"
  ☆104Updated 8 years ago
• omarsar / deep_learning_notations
  Contains useful deep learning notations for writing blogs, presentations, and papers.
  ☆46Updated 5 years ago
• rasbt / pydata-annarbor2017-dl-tutorial
  Code snippets for "Introduction to Deep Learning with TensorFlow" at PyData Ann Arbor Aug 2017
  ☆80Updated 7 years ago
• keon / deep-nlp
  [In-Progress] Mini implementations of deep learning algorithms for natural language processing in PyTorch
  ☆30Updated 8 years ago
• vruvora / reinforcement-learning-kdd
  ☆42Updated 7 years ago