Skip to main content

AIST Toolkit for Accelerating Machine Learning Research

Project description

AIST Toolkit for Accelerating Machine Learning Research

  • Research-Oriented: designed to accelerate your research cycles written in Python
  • HPC Optimized: intended to use in HPC clusters, including AI Bridging Cloud Infrastructure (ABCI)
  • Highly Modular: designed to let you pick up any part of aiaccel for your research project

Key Features

Installation

pip install aiaccel

Acknowledgement

  • Part of this software was developed in a project commissioned by the New Energy and Industrial Technology Development Organization (NEDO).
  • Part of this software was developed by using ABCI 3.0 provided by AIST and AIST Solutions.
  • Part of this software was developed by using the TSUBAME4.0 supercomputer at Institute of Science Tokyo.

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

aiaccel-2026.7.0.tar.gz (620.4 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

aiaccel-2026.7.0-py3-none-any.whl (68.6 kB view details)

Uploaded Python 3

File details

Details for the file aiaccel-2026.7.0.tar.gz.

File metadata

  • Download URL: aiaccel-2026.7.0.tar.gz
  • Upload date:
  • Size: 620.4 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.14

File hashes

Hashes for aiaccel-2026.7.0.tar.gz
Algorithm Hash digest
SHA256 e3207e4556970ab4ed9a0b04c6dcdbb429c9a2f89ea51de4a059968b1c22308f
MD5 2edc0324f3f3154d89324327222bd21f
BLAKE2b-256 0523a49ef02289ff3468e43c5fbae4332d5c922a98153952a9eef6d588d8fd1c

See more details on using hashes here.

Provenance

The following attestation bundles were made for aiaccel-2026.7.0.tar.gz:

Publisher: pypi-publish.yaml on aistairc/aiaccel

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file aiaccel-2026.7.0-py3-none-any.whl.

File metadata

  • Download URL: aiaccel-2026.7.0-py3-none-any.whl
  • Upload date:
  • Size: 68.6 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.14

File hashes

Hashes for aiaccel-2026.7.0-py3-none-any.whl
Algorithm Hash digest
SHA256 49649c3e72c2dcb27247f341e7184a4499d65a95251c705b4f5799e4ba8b9d66
MD5 d4400ba971cb8b23289a6f26aeb17f6d
BLAKE2b-256 08f22ec4b7666ed8429f24b829fc84cafe2fcb3b5b2bce1d8293f367eb7bd749

See more details on using hashes here.

Provenance

The following attestation bundles were made for aiaccel-2026.7.0-py3-none-any.whl:

Publisher: pypi-publish.yaml on aistairc/aiaccel

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

Supported by

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