Setogit

labelimg-data-converter

Converts labelimg meta data to yolo format. See https://github.com/tzutalin/labelImg

caffe

Caffe: a fast open framework for deep learning.

caffe2

Caffe2 is a lightweight, modular, and scalable deep learning framework.

cityline

Unit conversion service

cldrjs

Simple CLDR traverser

commander.js

node.js command-line interfaces made easy

contrib-pydicom

contributions to the core pydicom base, including tutorials, extra plugins, etc.

demo-self-driving

Streamlit app demonstrating an image browser for the Udacity self-driving-car dataset with realtime object detection using YOLO.

demo-uber-nyc-pickups

A Streamlit demo to interactively visualize Uber pickups in New York City

differentiable_neural_computer_LIVE

dnc

A TensorFlow implementation of the Differentiable Neural Computer.

git

Git Source Code Mirror - This is a publish-only repository and all pull requests are ignored. Please follow Documentation/SubmittingPatches procedure for any of your improvements.

Inquirer.js

A collection of common interactive command line user interfaces.

intermediatePython

ivy

The Unified Machine Learning Framework

learn-citrination

Training materials

loopback-connector-cassandra

LoopBack Connector for Cassandra

mean

The MEAN stack uses Mongo, Express, Angular(4) and Node for simple and scalable fullstack js applications

mshadow

Matrix Shadow:Lightweight CPU/GPU Matrix and Tensor Template Library in C++/CUDA for (Deep) Machine Learning

mxnet

Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more

node-imap

An IMAP client module for node.js.

ntdemo

os-locale

Get the system locale

python-citrination-client

Reference implementation in python for Citrination api

samples-js-angular-1

Angular 1 Samples

samples-nodejs-express-4

Express 4 samples. Will publish an artifact that can be consumed by end-to-end sample repos

sg-example-001-date-currency

sg-example-002-glob-pipeline

spearmint

Spearmint is a package to perform Bayesian optimization according to the algorithms outlined in the paper: Practical Bayesian Optimization of Machine Learning Algorithms. Jasper Snoek, Hugo Larochelle and Ryan P. Adams. Advances in Neural Information Processing Systems, 2012

tutorials