Hyperdash - Machine Learning M 1.8 Icon

Hyperdash - Machine Learning M

Hyperdash Productivity
4.4
7 Ratings
5K+
Downloads
1.8
version
Dec 22, 2017
release date
9.9 MB
file size
Free
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What's New

- Login using your GitHub account

About Hyperdash - Machine Learning M Android App

Monitor the training of your machine learning model anytime, anywhere with Hyperdash!

=== With Hyperdash's free iPhone app ===
- Watch the status of your training (Running, Failed, Cancelled, or Completed)
- Dig in to your 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

=== 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

=== About Hyperdash ===
Hyperdash was founded by engineers and data scientists to put you in control of your machine learning training process. We believe that data science is a lifestyle, not always 9-5, and that data science tools should be accessible whenever, wherever your insight strikes. We are rapidly developing new features to solve our users' challenges, please let us know what you'd like to see!

=== How To ===
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.

Learn more at hyperdash.io

Other Information:

Package Name:
Requires Android:
Android 4.1+
Other Sources:

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This version of Hyperdash Android App comes with one universal variant which will work on all the Android devices.

Variant
17
(Dec 22, 2017)
Architecture
armeabi-v7a x86
Minimum OS
Android 4.1+
Screen DPI
nodpi (all screens)
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