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Hyperdash - Machine Learning

Hyperdash - Machine Learning

Machine Learning Monitoring

8 ratings
5 reviews
🔧 Utilities
📊 Productivity
Free

Details

Released
July 11, 2017
Updated
November 11, 2017

Features

Developer

Andrew Schreiber
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About

Monitor machine learning training in real-time with alerts and console log streaming. Track training status, view stack traces, and easily contact developers for support. Integrates with popular ML libraries on cloud or local machines.

✓Real-time training status monitoring
✓Console log streaming
✓Stack trace viewing on failure
✓Support for Python ML libraries
✓Cloud and local machine compatibility
✓Direct developer contact
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What's New in Hyperdash

1.8

November 11, 2017

This app has been updated by Apple to display the Apple Watch app icon. - Login using your GitHub account - Compatibility with iPhone X

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User reviews

Most RecentHighest RatedLowest Rated

Really handy!

Glad this exists, nice to get updates on my longer jobs. I have yet to try out the tracking/graphing features, but if they work, would be icing on the cake!
TEThe Plebeian Emperor

Great app.

Used this to monitor a 7 hour ML job on gerbil behavior. Was delighted to easily check status and completion data. Thanks guys!
Bbobbyshemer

Oh Wow

Simple setup with notifications is great!
@@Spencer

Simple and Fast

Simple, fast - great tool for monitoring ML jobs.
IPInigo Palileo

Super useful

This app is awesome, sleek design and lets me keep tabs on my datasets without being tied to my laptop. Keep up the good work!
A2Airport traveller 25528900

FAQ

What is Hyperdash?

Hyperdash is a machine learning monitoring platform that allows data scientists to track the status of their training runs in real-time and stream console logs from their machine to any device.

How do I install Hyperdash?

You can install Hyperdash by downloading its open-source Python SDK using pip. After installation, you can sign up from the command line using the command 'hyperdash signup'.

What machine learning libraries does Hyperdash support?

Hyperdash's Python SDK supports all Python 2.7 and 3.x machine learning libraries, including popular ones like Keras, Tensorflow, Theano, and PyTorch.

Can I use Hyperdash with both cloud instances and local machines?

Yes, Hyperdash works with both cloud instances and local machines. You can even use both at the same time for your machine learning projects.

Is my data set safe with Hyperdash?

Security and privacy are paramount. Your data set never touches Hyperdash's servers, ensuring your sensitive information remains secure.

How often is Hyperdash updated?

The latest version of Hyperdash is 1.8, which was last updated on November 11, 2017. This indicates a release cycle that may vary.

What devices is Hyperdash available on?

Hyperdash is available on iPhone, iPad, and iPod devices, making it accessible for monitoring on the go.

What is the age rating for Hyperdash?

Hyperdash has an age rating of 4+, making it suitable for a wide range of users.