Hyperdash - Machine Learning Apple

Hyperdash - Machine Learning

Machine Learning Monitoring

Features & Capabilities

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.

User Growth & Download Statistics

App
By:
Andrew Schreiber
Rating:
4.50
(8)
Version:
1.8 Last updated: 2017-11-11
Version code:
836903790
Creation date:
2017-07-11
Compatible devices:
Size:
9.83MB
URLs:
Website ,Privacy policy
Full description:
See detailed description
Source:
Apple Apps Store
Data ingested on:
2026-06-23
Compare stats and ranking:

Contact the developer

Chrome-Stats does not own this Apple app. Please use these information below to contact the Apple app developer.
Developed by:
Andrew Schreiber
Apple Apps Store
https://apps.apple.com/us/app/hyperdash-machine-learning/id1257582233
Website:
https://hyperdash.io

User Reviews

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!
by Th*****, 2020-08-09

Used this to monitor a 7 hour ML job on gerbil behavior. Was delighted to easily check status and completion data. Thanks guys!
by bo*****, 2017-08-16

Simple setup with notifications is great!
by @S*****, 2017-07-30
View all user reviews ›

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