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-2025.10.2.tar.gz (541.9 kB view details)

Uploaded Source

Built Distribution

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

aiaccel-2025.10.2-py3-none-any.whl (44.9 kB view details)

Uploaded Python 3

File details

Details for the file aiaccel-2025.10.2.tar.gz.

File metadata

  • Download URL: aiaccel-2025.10.2.tar.gz
  • Upload date:
  • Size: 541.9 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.7

File hashes

Hashes for aiaccel-2025.10.2.tar.gz
Algorithm Hash digest
SHA256 6aa3a7d20282ad0388ac0aed72492bdf2b97285262eb9f1a4e7d84ba8912e17c
MD5 bf438725984134c54f843cc0627cbb2a
BLAKE2b-256 1e0d980ba3b4fb760bc0a25d0bd4225175d6d8c6be9355974f92d2c5d29f5443

See more details on using hashes here.

Provenance

The following attestation bundles were made for aiaccel-2025.10.2.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-2025.10.2-py3-none-any.whl.

File metadata

  • Download URL: aiaccel-2025.10.2-py3-none-any.whl
  • Upload date:
  • Size: 44.9 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.7

File hashes

Hashes for aiaccel-2025.10.2-py3-none-any.whl
Algorithm Hash digest
SHA256 017963d1e6bebb999ad24c0201cc04ac44e32cb52cce2f82443dc10cbed2748d
MD5 5e906668e7bb8a45caf97ad4588fc769
BLAKE2b-256 d4478e759e77dad3d212929e6c4a20411f7f28a8215659d51d2fd8821a0a652d

See more details on using hashes here.

Provenance

The following attestation bundles were made for aiaccel-2025.10.2-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