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-2025.8.tar.gz (494.8 kB view details)

Uploaded Source

Built Distribution

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

aiaccel-2025.8-py3-none-any.whl (46.9 kB view details)

Uploaded Python 3

File details

Details for the file aiaccel-2025.8.tar.gz.

File metadata

  • Download URL: aiaccel-2025.8.tar.gz
  • Upload date:
  • Size: 494.8 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.12.9

File hashes

Hashes for aiaccel-2025.8.tar.gz
Algorithm Hash digest
SHA256 ec5168fb854234fdc214ae3676b68ab40684315e8f41d67d811cb987c6f01e15
MD5 efe3600aa7ca49aed8bba9f1fa05f08c
BLAKE2b-256 90ece3a8cfd33afdfead8d20a5ffa602509d96373f3d364c51bcb576474b098d

See more details on using hashes here.

Provenance

The following attestation bundles were made for aiaccel-2025.8.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-2025.8-py3-none-any.whl.

File metadata

  • Download URL: aiaccel-2025.8-py3-none-any.whl
  • Upload date:
  • Size: 46.9 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.12.9

File hashes

Hashes for aiaccel-2025.8-py3-none-any.whl
Algorithm Hash digest
SHA256 46010f4743dd1e0ec9cc87a4bbe80d891fde255d91012204f3e1956156b9ca93
MD5 ec47b5545a476474e584f3a649b55384
BLAKE2b-256 39a2573d7c0eb85cf86ee23268060ed31060509dbe333239be96d19f387caedd

See more details on using hashes here.

Provenance

The following attestation bundles were made for aiaccel-2025.8-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