Join Training
At the moment EzSpark offers you the possibility to join other people training in 3 ways:
By web
With a python package
On Google Colab
By Web
Go to https://app.ezspark.ai
Select an interesting training for you clicking on More
In the new page click on Train (if you cannot click on it means that the training is offline)
That's it, you joined other's user training as a client and you are using your computational power to train other's user models in a distributed training with other people
Warning
The browsers have some performance optimization mechanisms that will slow down every activity on the browser tab if you are doing something else. For this reason is recommended to, once you have joined a training, let the focus on the tab of the training of the browser and you cannot do anything else
With Python Package
What you'll need
To check your version
python --version
To Install Pyezspark
pip install Pyezspark
Train
Go to https://app.ezspark.ai
Select an interesting training for you clicking on More
In the new page click on More Details
Copy the training_public_key
Run this piece of code with the pasted training_public_key
import pyezspark
training_public_key = ''
ez = pyezspark.EzSpark(training_public_key)
ez.execute()
Google Colab:
Just upload on Google colab our already-written Jupyter notebook