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-2025.6.tar.gz (492.5 kB view details)

Uploaded Source

Built Distribution

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

aiaccel-2025.6-py3-none-any.whl (33.5 kB view details)

Uploaded Python 3

File details

Details for the file aiaccel-2025.6.tar.gz.

File metadata

  • Download URL: aiaccel-2025.6.tar.gz
  • Upload date:
  • Size: 492.5 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: python-httpx/0.28.1

File hashes

Hashes for aiaccel-2025.6.tar.gz
Algorithm Hash digest
SHA256 5761b5dfec5ba36bb2209e0646d8f7404db368cae3142f6a291d3f753d67beea
MD5 2d9ad3e43fa7aa242d28ca05412ee44a
BLAKE2b-256 d41212006136d1762b740a027ae277b8df21dc1fe0a15861a10d7f046b56de2f

See more details on using hashes here.

File details

Details for the file aiaccel-2025.6-py3-none-any.whl.

File metadata

  • Download URL: aiaccel-2025.6-py3-none-any.whl
  • Upload date:
  • Size: 33.5 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: python-httpx/0.28.1

File hashes

Hashes for aiaccel-2025.6-py3-none-any.whl
Algorithm Hash digest
SHA256 cdc4643f93bb9b454a3e08f5dcb1c0b88472fe71ddef4a5198cd9bb9061bbee6
MD5 1bd25169951e812a8c365a178fef0a85
BLAKE2b-256 2a154452e8e72513202c6052b5cc1e5e66571765690c57cdc258a1f88c4a186d

See more details on using hashes here.

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