phdkiran Goto Github PK

keras-flask-deploy-webapp

:smiley_cat: Pretty&simple image classifier app template. Deploy your own trained model or pre-trained model (VGG, ResNet, Densenet) to a web app using Flask in 10 minutes.

keras-pytorch-avp-transfer-learning

We pit Keras and PyTorch against each other, showing their strengths and weaknesses in action. We present a real problem, a matter of life-and-death: distinguishing Aliens from Predators!

kibana

Kibana

kibi

Kibi is a friendly - kept in sync - Kibana fork which add support for joins across indexes and external sources, tabbed navigation interface and more

kite

Kite SDK

kite-examples

Kite SDK Examples

lambda-architecture.net

A repository of information, examples and good practices around the Lambda Architecture

learn

learndatascience

Open Content for self-directed learning in data science

learning-opencv-3_examples

learning-spark

Example code from Learning Spark book

libzmq

ZeroMQ core engine in C++

littleinferencebook

A book for the coursera statistical inference class

loandefault-prediction

Lending Club Loan data analysis

logstash-patterns-core

make_a_neural_network

This is the code for the "Make a Neural Network" - Intro to Deep Learning #2 by Siraj Raval on Youtube

mkmoney

Siraj course submissions

mlhomework

mltutorial

Machine Learning Tutorial in IPython Notebooks

modules

mongo-hadoop

MongoDB Connector for Hadoop

mongo-jdbc

JDBC Driver for MongoDB

mraa

Low Level Skeleton Library for IO Communication on GNU/Linux platforms

mydots

myhybrid

Demo of a Reticulated Shiny App, using NREL's FASTSim model to compare vehicle MPGs for a user defined trip.

neural-networks-demystified

Supporting code for short YouTube series Neural Networks Demystified.

ng-file-upload

An AngularJS directive for file upload using HTML5 with FileAPI polyfill for unsupported browsers

ng-grid

UI Grid: an Angular Data Grid

node-logstash

Simple logstash implmentation in nodejs : file log collection, sent with zeromq

notebooks

Speedml Python Notebooks