labml-app

Mobile first web app to monitor PyTorch & TensorFlow model training

Relax while your models are training instead of sitting in front of a computer

This is an open-source library to push updates of your ML/DL model training to mobile. Here's a sample experiment

Notable Features

Mobile first design: web version, that gives you a great mobile experience on a mobile browser.
Model Gradients, Activations and Parameters: Track and compare these indicators independently. We provide a separate analysis for each of the indicator types.
Summary and Detail Views: Summary views would help you to quickly scan and understand your model progress. You can use detail views for more in-depth analysis.
Track only what you need: You can pick and save the indicators that you want to track in the detail view. This would give you a customised summary view where you can focus on specific model indicators.
Standard ouptut: Check the terminal output from your mobile. No need to SSH.

📚 How to track experiments?

How to run app locally?

Install the PIP package

pip install labml-app

Start the server

labml app-server

Set the web api url to http://localhost:5005/api/v1/track? when you run experiments. You can also set this on .labml.yaml.

from labml import tracker, experiment

with experiment.record(name='sample', token='http://localhost:5005/api/v1/track?'):
    for i in range(50):
        loss, accuracy = train()
        tracker.save(i, {'loss': loss, 'accuracy': accuracy})

Metadata

Release files for labml-app 0.5.14

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for labml-app 0.5.14
File	Size	Uploaded
labml_app-0.5.14.tar.gz	296.8 kB	Jul 8, 2024	Details

Built distribution (wheel)

Table of built distributions (wheels) for labml-app 0.5.14
File	Interpreter	ABI	Platform	Reset
labml_app-0.5.14-py3-none-any.whl 320.8 kB Jul 8, 2024	Python 3	none	any	Details

Total release size: 617.6 kB

Release files / labml_app-0.5.14.tar.gz

Download URL	labml_app-0.5.14.tar.gz
Size	296.8 kB
Tags	Source
SHA-256 checksum How to use checksums	`712575114c944ee4a47dc8cb88b9ccd3cc127d469e616bc5abba6b4f1e170922`
BLAKE2b-256 checksum How to use checksums	`f231663437af831cbb8b851872253ff1e1ead642229efb75aa1e25b826643bc1`
Upload date	Jul 8, 2024
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`twine/4.0.2 CPython/3.10.11`

Release files / labml_app-0.5.14-py3-none-any.whl

Download URL	labml_app-0.5.14-py3-none-any.whl
Size	320.8 kB
Tags	Python 3
SHA-256 checksum How to use checksums	`6b4eb3f8fe0ebcf7779d0751edd3d2ef1ab5d878c03aa2dd618da41d13f6a5f5`
BLAKE2b-256 checksum How to use checksums	`616ba37179d4bb3302e9ab711ec4972379b7096c4d8559ffa0d063f1f03701ac`
Upload date	Jul 8, 2024
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`twine/4.0.2 CPython/3.10.11`