google-aai / sc17
SuperComputing 2017 Deep Learning Tutorial
☆213Updated 6 years ago
Alternatives and similar repositories for sc17:
Users that are interested in sc17 are comparing it to the libraries listed below
- In-class exercises for Deep Learning course at NYC Data Science Academy☆32Updated 6 years ago
- Slides showing a walkthrough of the tutorial by kozyrkov and bkungfoo available at github.com/google-aai/sc17.☆98Updated 4 years ago
- Abridged implementation of the official scikit-learn beginner tutorials☆51Updated 9 years ago
- Collection of great (and free) machine learning books☆116Updated 2 years ago
- Pydata Dallas 2015 Scikit-Learn Tutorial☆62Updated 9 years ago
- Materials for the "Advanced Scikit-learn" class in the afternoon☆165Updated 6 years ago
- Site for a Data Science class taught by Allen Downey☆44Updated 2 years ago
- Code for O'Reilly's "A Short Course on TensorFlow"☆103Updated 7 years ago
- This repository contains all the code and dataset used in my blog series: Minimal Data Science☆30Updated 2 years ago
- Codes, notes and guides on Udacity's machine learning nanodegree.☆83Updated 8 years ago
- An introduction to implementing a number of scikit-learn classifiers, along with some data exploration☆102Updated 9 years ago
- Jupyter notebooks for learning Python and Data Science, companion to Data Science Solutions book.☆36Updated 4 years ago
- Summaries and notes on Deep Learning research papers☆32Updated 8 years ago
- Repo that generates https://github.com/full-stack-deep-learning/fsdl-text-recognizer-project☆58Updated 2 years ago
- ☆31Updated 9 years ago
- In which I implement some applications of machine learning techniques.☆30Updated 8 years ago
- Lending Club Loan data analysis☆45Updated 5 years ago
- Walkthrough notebooks for Deep Learning, Machine Learning, Reinforcement Learning, Spark, Statistics, Algorithms, Scala, Python☆69Updated last year
- Default Repo description from terraform module☆0Updated 7 years ago
- Materials for STATS 418 - Tools in Data Science course taught in the Master of Applied Statistics at UCLA☆135Updated 7 years ago
- Public web page for brohrer☆99Updated 4 years ago
- A complete daily plan for studying to become a machine learning engineer.☆50Updated 8 years ago
- helpful resources for (big) data science☆33Updated 3 years ago
- ☆87Updated 6 years ago
- SuperComputing 2017 Deep Learning Tutorial☆30Updated 6 years ago
- Advanced Machine Learning with Scikit-learn part II☆162Updated 4 years ago
- ☆37Updated 6 years ago
- ☆59Updated 3 years ago
- Delta believes in building technical capacity all over the world. We believe that data is powerful, and that anybody should be able to ha…☆24Updated 6 years ago
- Lecture notes on probabilistic graphical modeling, based on Stanford CS228 (work in progress!)☆31Updated 7 years ago