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-2025.10.3.tar.gz (541.8 kB view details)

Uploaded Source

Built Distribution

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

aiaccel-2025.10.3-py3-none-any.whl (44.7 kB view details)

Uploaded Python 3

File details

Details for the file aiaccel-2025.10.3.tar.gz.

File metadata

  • Download URL: aiaccel-2025.10.3.tar.gz
  • Upload date:
  • Size: 541.8 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.7

File hashes

Hashes for aiaccel-2025.10.3.tar.gz
Algorithm Hash digest
SHA256 412fca6986ffc79b911cbcaa7cc805a4309cb4b2c2a33d44a2bc6b6d2f5e163a
MD5 a5c11e77afb751e5be44a6f9453ce8a8
BLAKE2b-256 a23f8ee4aa1e804d0db62e96014827e56fbe90761faada717ab9412ce1f8ff97

See more details on using hashes here.

Provenance

The following attestation bundles were made for aiaccel-2025.10.3.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-2025.10.3-py3-none-any.whl.

File metadata

  • Download URL: aiaccel-2025.10.3-py3-none-any.whl
  • Upload date:
  • Size: 44.7 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.7

File hashes

Hashes for aiaccel-2025.10.3-py3-none-any.whl
Algorithm Hash digest
SHA256 762d00458e90d37cb5069336065f058fb3e9cfddf8f51f53c7848d3268983af3
MD5 db37cd599ad324e329a84bc21b24b03f
BLAKE2b-256 4286e9a1f18acf6c733ca9e47134282a3f5d9b7be0f52721f9b82953124d4e2d

See more details on using hashes here.

Provenance

The following attestation bundles were made for aiaccel-2025.10.3-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