Alternatives and similar repositories for python-ml-course

Users that are interested in python-ml-course are comparing it to the libraries listed below

• StephenElston / DataScience350
  Material for UW Extension Data Science 350
  ☆19Updated 7 years ago
• adeshpande3 / NLP-Stuff
  Programs with word vectors, RNN, NLP stuff, etc
  ☆18Updated 8 years ago
• nfmcclure / DataScience350
  Notes for Data Science 350 Class
  ☆24Updated 8 years ago
• amueller / structured-prediction-workshop
  Introduction to structured prediction with Python and pystruct
  ☆18Updated 7 years ago
• h2oai / driverlessai-tutorials
  H2OAI Driverless AI Code Samples and Tutorials
  ☆38Updated last year
• pmservice / ai-openscale-tutorials
  Watson OpenScale tutorials including sample models, notebooks and applications
  ☆22Updated 3 years ago
• amueller / talks_odt
  Slides and materials for most of my talks by year
  ☆92Updated 2 years ago
• hohsiangwu / kdd-2018-hands-on-tutorials
  KDD Hands-On Tutorial (2018)
  ☆29Updated 3 years ago
• christophM / explain-ml
  ☆34Updated 8 years ago
• yanneta / deep-learning-data-institute
  Repo for the course "Fundamentals of Deep Learning with Pytorch"
  ☆39Updated 4 years ago
• m2dsupsdlclass / azure-deployment
  Deployment instructions to get a GPU VM for the Deep Learning class
  ☆18Updated 7 years ago
• davidrosenberg / ml2018
  DSGA-1003: Machine Learning and Computational Statistics, Spring 2018
  ☆26Updated 2 years ago
• cavaunpeu / flight-delays
  Transfer learning for flight-delay prediction via variational autoencoders in Keras
  ☆35Updated 8 years ago
• tcsai / data-mining
  Resources for the Data Mining for Bussiness and Governance course.
  ☆56Updated 5 years ago
• RubensZimbres / GAN-Project-2018
  GAN in Tensorflow to be run via Linux command line
  ☆22Updated 7 years ago
• fonnesbeck / gp_tutorial_pydata
  PyData San Luis 2017 Tutorial: An Introduction to Gaussian Processes in PyMC3
  ☆15Updated 8 years ago
• jphall663 / responsible_xai
  Guidelines for the responsible use of explainable AI and machine learning.
  ☆17Updated 2 years ago
• amueller / advanced-sklearn-boston-nlp-2016
  Material and slides for Boston NLP meetup May 23rd 2016
  ☆17Updated 9 years ago
• joelgrus / odscnet
  repo for my ODSC West 2017 Talk: "Livecoding Madness: Let's Build a Deep Learning Library"
  ☆13Updated 8 years ago
• brohrer / cottonwood
  A flexible neural network framework for running experiments and trying ideas.
  ☆82Updated 5 years ago
• mikepqr / serverless-for-data-scientists
  Code and notebooks for a talk given at PyBay, 2018-08-19
  ☆49Updated 4 years ago
• fastai / word-embeddings-workshop
  This contains materials for the word embeddings workshop
  ☆127Updated 8 years ago
• zotroneneis / tensorflow_deep_learning_models
  TensorFlow implementations of several deep learning models (e.g. variational autoencoder, RNN, ...)
  ☆37Updated 7 years ago
• GeorgeMcIntire / collection_free_DL_resources
  My exhaustive repo of free deep learning resources
  ☆50Updated 8 years ago
• amitkaps / art-data-science
  The Art of Data Science
  ☆36Updated 6 years ago
• rozester / LinkedIn-Comments-Analyzer
  Extracting LinkedIn comments from any post and export it to Excel file
  ☆23Updated 7 years ago
• thedataincubator / DS30_4
  Brian Farris' Talk on Reinforcement Learning and Multi-Armed Bandits for the Data Incubator
  ☆30Updated 7 years ago
• d6t / d6tflow-template
  Project template for highly effective data science workflows
  ☆29Updated last month
• datacamp / datacamp_facebook_live_ny_resolution
  In this Facebook live code along session with Hugo Bowne-Anderson, you're going to check out Google trends data of keywords 'diet', 'gym'…
  ☆44Updated 7 years ago
• tensorchiefs / dl_course_2018
  The 2018 Version of the dl-course
  ☆15Updated 6 years ago