Hyperdash - Machine Learning M APK

Hyperdash - Machine Learning M  Icon
   
4.4/5
7 Ratings
Developer
Hyperdash
Current Version
1.8
Date Published
File Size
9.9 MB
Package ID
com.hyperdash
Price
$ 0.00
Downloads
472+
Category
Android Apps
Genre
Productivity

APK Version History

Version
1.8 (17)
Architecture
armeabi-v7a,x86
Release Date
December 22, 2017
Requirement
Android 4.1+
Version
1.7 (13)
Architecture
armeabi-v7a,x86
Release Date
December 05, 2017
Requirement
Android 4.1+
Version
1.6 (9)
Architecture
armeabi-v7a,x86
Release Date
December 05, 2017
Requirement
Android 4.1+
Version
1.5 (6)
Architecture
armeabi-v7a,x86
Release Date
December 05, 2017
Requirement
Android 4.1+
  • Hyperdash - Machine Learning M Screenshot
  • Hyperdash - Machine Learning M Screenshot
  • Hyperdash - Machine Learning M Screenshot

About Radio FM 90s

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

What's New in this version

- Login using your GitHub account