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
• oxford-cs-deepnlp-2017 / practical-open
  Oxford Deep NLP 2017 course - Open practical
  ☆99Updated 8 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
• llSourcell / Neural_Arithmetic_Logic_Units
  This is the code for "Neural Arithmetic Logic Units" By Siraj Raval on Youtube
  ☆91Updated 7 years ago
• llSourcell / AI_Dresses_Itself
  This is the code for "AI that Dresses Itself" By Siraj Raval on Youtube
  ☆47Updated 6 years ago
• GokuMohandas / the-neural-perspective
  📓 Notes from The Neural Perspective (discontinued) blog.
  ☆83Updated 7 years ago
• uclnlp / stat-nlp-course
  Code for the UCL Statistical NLP course
  ☆11Updated 10 years ago
• adeshpande3 / Machine-Learning-Notes
  Notes for several Machine Learning and Deep Learning courses, textbooks, and talks
  ☆58Updated 7 years ago
• bpjsincl / coursera-neural-net
  Assignments for Geoffrey Hinton's Neural Net Course on Coursera, translated from (gross)Matlab into (beautiful)Python.
  ☆41Updated 9 years ago
• ageron / tiny-dqn
  A tiny implementation of Deep Q Learning, using TensorFlow and OpenAI gym
  ☆94Updated 3 years ago
• wagonhelm / Visualizing-Convnets
  How to build convolutional neural networks from scratch w/ Tensorflow
  ☆86Updated 7 years ago
• mlberkeley / deep-learning-reading-group
  A public wiki for the deep learning reading group at UC Berkeley
  ☆27Updated 9 years ago
• Shujian2015 / Kaggle-Mercari
  32/2384 Solution to Kaggle Mercari Competition (solo silver medal winner)
  ☆21Updated 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
• keon / pytorch-exercises
  Pytorch exercises
  ☆98Updated 8 years ago
• AccelAI / AI-DL-Enthusiasts-Meetup
  AI & Deep Learning Enthusiasts Meetup Project & Study Sessions
  ☆90Updated 6 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
• riddhishb / ipython-notebooks
  ipython-notebooks on popular algorithms meant to be used at technical sessions for IITB students
  ☆28Updated 8 years ago
• tdhopper / smo-svm
  A derivation of the Sequential Minimal Optimization Algorithm for Support Vector Machines
  ☆11Updated last year
• kushagra06 / CS230_DL
  ♊ Stanford CS230 : Deep Learning
  ☆16Updated 6 years ago
• adeshpande3 / NLP-Stuff
  Programs with word vectors, RNN, NLP stuff, etc
  ☆18Updated 8 years ago
• anishathalye / mathematics-of-deep-learning
  The Mathematics of Deep Learning, SIPB IAP 2018
  ☆74Updated 5 years ago
• llSourcell / Q_Learning_Explained
  This is the code for "Q Learning Explained" by Siraj Raval on Youtube
  ☆85Updated 7 years ago
• llSourcell / world_models
  This is the code for "World Models Explained" By Siraj Raval on Youtube
  ☆86Updated 2 years ago
• llSourcell / kaggle_challenge
  This is the code for "Kaggle Challenge LIVE" By Siraj Raval on Youtube
  ☆121Updated 7 years ago
• stats385 / stats385.github.io
  STATS385 course website
  ☆89Updated 3 years ago
• williamFalcon / keras-deep-learning-paper-implementations
  Keras implementation of Deep Learning papers
  ☆95Updated 7 years ago
• llSourcell / quantum_machine_learning_LIVE
  This is the code for "Quantum Machine Learning LIVE" By Siraj Raval on Youtube
  ☆82Updated 7 years ago
• keon / speed
  Learning To Predict Vehicle Speed From A Video
  ☆88Updated 5 years ago