Hyperdash - Machine Learning

Hyperdash - Machine Learning
Developer: Andrew Schreiber
Category: Productivity
400 installs
8.00 ratings
23 monthly active users
Revenue not available

Hyperdash - Machine Learning Summary

Hyperdash - Machine Learning is a mobile iOS app in Productivity by Andrew Schreiber. Released in Jul 2017 (8 years ago). It has 8.00 ratings with a 4.50★ (excellent) average. Based on AppGoblin estimates, it reaches roughly 23 monthly active users . Store metadata: updated Nov 11, 2017.

Store info: Last updated on App Store on Nov 11, 2017 .


4.5★

Ratings: 8.00

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App 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.