dkokoska Goto Github PK
Name: David Kokoska
Type: User
David Kokoska's Projects
awesome-docker
:whale: A curated list of Docker resources and projects
convnetjs
Deep Learning in Javascript. Train Convolutional Neural Networks (or ordinary ones) in your browser.
courseraml
I took Andrew Ng's Machine Learning course on Coursera and did the homework assigments... but, on my own in python because I love jupyter notebooks!
courses
fast.ai Courses
cozmo-python-sdk
Anki Cozmo Python SDK
cs231n.github.io
Public facing notes page
data-and-resources
Submit and share your resources and ideas in the wiki for Baseball Hack Day!
dl-docker
An all-in-one Docker image for deep learning. Contains all the popular DL frameworks (TensorFlow, Theano, Torch, Caffe, etc.)
fastai
The fast.ai deep learning library, lessons, and tutorials
handson-ml
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.
keras
Deep Learning for humans
localstack
A fully functional local AWS cloud stack. Develop and test your cloud apps offline!
mlbatbat_pgsql
Scripts for importing MLB AtBat data into Postgres
neural-networks-and-deep-learning
Code samples for my book "Neural Networks and Deep Learning"
one-click-message
An annoying Yo clone
py-sms
starter code for sending sms in python using twilio
python-machine-learning-book
The "Python Machine Learning" book code repository and info resource
python-websockets-chat
An example implementation of WebSockets in Flask.
pythondatasciencehandbook
Jupyter Notebooks for the Python Data Science Handbook
tensorflow
Computation using data flow graphs for scalable machine learning
tensorflow-examples
TensorFlow Tutorial and Examples for beginners
tensorflow-tutorials
Simple tutorials using Google's TensorFlow Framework
vehicle-detection-linear-svc
Vehicle Detection using Linear Support Vector Classification
visdom
A flexible tool for creating, organizing, and sharing visualizations of live, rich data. Supports Torch and Numpy.
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