Hyperdash - Machine Learning 4+

Name: Hyperdash - Machine Learning
Author: Andrew Schreiber

Machine Learning Monitoring

Andrew Schreiber

Designed for iPad

- Free

Description

Hyperdash is a machine learning monitoring platform built for data scientists. Track the status of your training with real-time alerts and stream console logs from your machine to any device.

• Watch the status of your training in real-time
• Track full console logs for each training run, past and present
• See stack traces if the run fails
• Easily contact the developers via text to fix bugs or add features

Learn more at hyperdash.io

=== Hyperdash's open-source Python SDK: ===

• Supports all python 2.7 and 3.x machine learning libraries, including Keras, Tensorflow, Theano, PyTorch, and more!
• Works with both cloud instances and local machines (you can even use both at the same time!)
• Security and privacy are paramount to us - your data set never touches our servers

=== How To Guide ===
Download our Python SDK (supports 2.7 & 3.x) using pip and signup from the command line:

$ pip install hyperdash && hyperdash signup

Try a test run:

$ hyperdash demo

Then use the same email and password to log in to the iPhone app and view your demo run in real-time! Follow the examples and documentation on our website and GitHub page to add Hyperdash to your machine learning project.

11 Nov 2017

Version 1.8

This app has been updated by Apple to display the Apple Watch app icon.

- Login using your GitHub account
- Compatibility with iPhone X

The developer, Andrew Schreiber, has not provided details about its privacy practices and handling of data to Apple. For more information, see the developer’s privacy policy.