Skip to main content

AI Deployment tool

Project description

Aim

Aim is an AI deployment and version control system. It can handle both small and large projects through their whole life cycle with efficiency and speed. It is built to seamlessly blend in with existing ML stack and become an integral part of the development lifecycle.

Aim CLI

Aim CLI is a command line tool for building end-to-end AI. Aim is built to be: compatible with the existing ecosystem of tools be familiar just work make building AI productive

Aim has three main features: tracking of training, export and deploy.

Tracking - ML Training

Command: aim train Aim train runs training for the given aim repository. Aim train tracks the gradients and updates in the model with given interval and saves them for visualization and analysis. Aim Train is paired with UI that visualizes the artifacts tracked. Aim Tracking is used to debug and have a detailed understanding of the process of training.

Export - ML Model

Command: aim export Aim export creates the saved model checkpoint file and exports .aim model which could be committed and pushed to the Aimhub and/or deployed to different platforms. Exported .aim model could also be converted to .onnx, .tf and other checkpoints for other frameworks. Aim CLI Export is based on aim Intermediate Representation that allows for automatic deployment of the model. Aim Export can also export pre-processing steps similarly to the model and could be included in the model deployment process.

Deploy - Aim Model

Command: aim deploy Aim Deploy produces a deployable artifact from .aim (model and preprocessing) files. The produced artifacts can run in cloud, on different hardware and as a hybrid. Deployments are also reflected on Aimhub to track and version the deployed artifacts.

Other Commands

aim fork
aim branch off
aim pause, continue
aim convert

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

aimhub-0.1.0.tar.gz (11.4 kB view details)

Uploaded Source

Built Distribution

aimhub-0.1.0-py2.py3-none-any.whl (20.6 kB view details)

Uploaded Python 2 Python 3

File details

Details for the file aimhub-0.1.0.tar.gz.

File metadata

  • Download URL: aimhub-0.1.0.tar.gz
  • Upload date:
  • Size: 11.4 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.13.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/41.0.1 requests-toolbelt/0.9.1 tqdm/4.32.2 CPython/3.7.3

File hashes

Hashes for aimhub-0.1.0.tar.gz
Algorithm Hash digest
SHA256 5efa9c5cac4f3e399e6f64029ea5f80a2e6f03b3e63c5079045e42f68e06dce6
MD5 6cb629c50040bbeb23360b056ebea228
BLAKE2b-256 3f1d511f7781e3d35d855a47b04c499b76714d0b0bf363134865e858a5b3cd72

See more details on using hashes here.

File details

Details for the file aimhub-0.1.0-py2.py3-none-any.whl.

File metadata

  • Download URL: aimhub-0.1.0-py2.py3-none-any.whl
  • Upload date:
  • Size: 20.6 kB
  • Tags: Python 2, Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.13.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/41.0.1 requests-toolbelt/0.9.1 tqdm/4.32.2 CPython/3.7.3

File hashes

Hashes for aimhub-0.1.0-py2.py3-none-any.whl
Algorithm Hash digest
SHA256 0e9e0dfbd4c50e307d269c546f5be8e3d77b6897cad76815c7cb3686f465808b
MD5 877a473ed21084673d6605fdd1dfc77a
BLAKE2b-256 60c21e87b4053a693be317c7462f1bd3352f0333f387a189fea38e703ac853ce

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page